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Displaying results 2011 - 2040 of 34727 in total
Collection
2001 Annual Conference
Authors
John Heydweiller; Huang-Chin Hung
represented by the transfer function G(s) that relates the observed pH to the pH in the reactor. → X(s) → G(s) → Y(s) Batch Reactor pH meterThe input to the meter is represented by: X(s) = L [ x(t) - x(0) ] (1)where L is the Laplace transform operator. The output of the meter is represented by: Page 6.414.2 Proceedings of the 2001 American Society for Engineering Education Annual Conference & Exposition Copyright  2001, American Society for Engineering Education
Conference Session
NSF Grantees Poster Session
Collection
2009 Annual Conference & Exposition
Authors
Hamid Vakilzadian, University of Nebraska, Lincoln; Dietmar Moeller, University of Hamburg
Engineering. His current research interests include computational modelling and simulation, e-Learning, transportation, air-transport systems, aeronautical engineering, robotics, and embedded systems. Page 14.999.1© American Society for Engineering Education, 2009 Qualification and Assessment Requirements for Simulation-Based Electrical Engineering EducationAbstractModeling and Simulation (M&S) is a discipline for developing an understanding of theinteraction of the parts or of a whole system. The level of understanding developed usingM&S is rarely achievable using other disciplines. However
Conference Session
Integrating Math, Science, & Engineering
Collection
2006 Annual Conference & Exposition
Authors
Leslie Keiser, University of Tulsa; William Hamill, University of Tulsa; Bryan Tapp, University of Tulsa; William Potter, University of Tulsa; Jerry McCoy, University of Tulsa; Peter LoPresti, University of Tulsa; Donna Farrior, University of Tulsa; Shirley Pomeranz, University of Tulsa
Tagged Divisions
Mathematics
Figure 4. Comparison of Conceptions of Mathematics Inventory (CMI) Results. CMI given at start of fall 2004 Calculus I and at end of spring 2005 Calculus II. Data collected for 48 students who took both fall 2004 and spring 2005 CMI . AVERAGE VALUES. 1 2 3 4 5 6 I . N a tu r e o f M a th e m a tic a l K n o w le d g e 1 . C o m p o s itio n o f M a th e m a tic a l F a ll: 3 .8 7 S p r i n g : 3 .7 2 K n o w le d g e K n o w l e d g e a s f a c t s , f o r m u l a s, a n d
Conference Session
ECE Lab Development and Innovations
Collection
2005 Annual Conference
Authors
David Mauritzen
. Although this will "cos t" you tim e before the lab, it will s ave you tim e after the experim ent is perform ed becaus e you will know what to do and what to expect (thus minim izing confus ion and tim e consum ing rework). Enough background m aterial is included in the early experim ents so that they are (hopefully) independent of the cours e m aterial and s equence. The background inform ation also includes an as sociation with concepts from Mechanical Engineering and Phys ics so that m echanical engineering m ajors can develop an understanding of electrical circuits by analogy and electrical engineering m ajors can develop a better unders tanding of mechanical s ys tem s . L AB O R AT O R Y Z E R O C O M P U T E R U S E I S M AN D AT
Collection
2001 Annual Conference
Authors
Edwin Zivi; Jenelle Piepmeier
Session 2220 Dynamic System Animation Within a Simulink Laboratory Environment Edwin Zivi, Jenelle Armstrong Piepmeier U.S. Naval AcademyAbstractRecent innovations in the animation of student developed, laboratory simulations have beenfound to significantly improve student understanding and enthusiasm. This animation canbe implemented using Matlab s-functions that are typically called from a Simulinksimulation. These rudimentary animations have been found to be relatively easy toconstruct and well received by students. General observations and
Conference Session
Minorities in Engineering Division Technical Session 5
Collection
2018 ASEE Annual Conference & Exposition
Authors
Sarah Hug, Colorado Evaluation & Research Consulting
Tagged Topics
Diversity
Tagged Divisions
Minorities in Engineering
of peer support to achieve in higher education [2]. Co-curricular and informal learning opportunities can provide students access to expert thinking intheir disciplines, and can improve retention in the sciences [3]. S-STEM scholarship programswere designed to provide curricular, co-curricular, and financial support to students withfinancial need who are underrepresented in STEM fields. Results from S-STEM programindicate scholars experience greater retention and higher achievement than their peers, [4,5,6] yetlittle is known about how S-STEM scholarship programs shape students’ professional identitiesin their fields.The Cybersecurity National Science Foundation S-STEM scholarship project is a joint effortbetween two- year and four-year
Conference Session
NSF Grantees Poster Session
Collection
2023 ASEE Annual Conference & Exposition
Authors
Marialice Mastronardi, University of Texas, Austin; David R. Brown, Foundation for California Community Colleges; John Krupczak Jr., Hope College; Maura Borrego, University of Texas, Austin
Tagged Topics
NSF Grantees Poster Session
Division; Senior Fellow CASEE, National Academy of Engineering, 2008-2010; Program Officer, NatDr. Maura Borrego, University of Texas, Austin Maura Borrego is Director of the Center for Engineering Education and Professor of Mechanical Engi- neering and STEM Education at the University of Texas at Austin. Dr. Borrego is Senior Associaate Editor for Journal of Women and Minorities in Science and E ©American Society for Engineering Education, 2023 Lessons Learned from a Capacity-Building Workshop for Two-Year Colleges seeking U.S. National Science Foundation FundingAbstractThe Scholarships in Science, Technology, Engineering, and Mathematics (S-STEM) program,managed by the U.S
Conference Session
Cultivating Engineering Scholarship and Research Mindsets Among URM Students
Collection
2015 ASEE Annual Conference & Exposition
Authors
David M. Ford, University of Massachusetts, Amherst; Paula Rees, University of Massachusetts, Amherst; Kathleen G. Rubin, University of Massachusetts Amherst
Tagged Topics
Diversity
Tagged Divisions
Minorities in Engineering
the Associate Dean for Student Affairs in the UMass Amherst College of Engineering. She has over 30 years experience in recruiting, retaining and graduating engineering students. From 2003 through 2007, she also served as Director of Education, Outreach and Diversity for CASA - an NSF Engineering Research Center. She has been a Co-PI and Program Director for several previous CSEM and S-STEM awards. Page 26.1543.1 c American Society for Engineering Education, 2015 The Impact of Federally Funded Scholarship Programs on the Success of Transfer Students at a Public
Conference Session
Multidisciplinary Design
Collection
2003 Annual Conference
Authors
Rudolph Eggert
Table 1, approximately 50 percent of all engineers worked inmanufacturing companies, 27 percent worked in engineering services, 12 percent forgovernment, and three percent self-employed. Approximately eight percent were classified asothers. Table 1. Engineering employment (U. S. Bureau of Labor Statistics8). Employment Employer Thousands % Manufacturing 732 50 Engineering Services 401 27 Government 179 12 Self-employed 43 3
Collection
1998 Annual Conference
Authors
Susan M. Blanchard; John D. Enderle
. rd5. L. A. Geddes and L. E. Baker, Principles of Applied Biomedical Instrumentation, 3 Ed., New York: John Wiley & Sons, Inc., 1989. nd6. W. Welkowitz, S. Deutsch, and M. Akay, Biomedical Instruments: Theory and Design, 2 Ed., San Diego: Academic Press, 1992. Page 3.380.17. J. D. Enderle, S. M. Blanchard, and J. D. Bronzino. Introduction to Biomedical Engineering. Academic Press. In Press. Table 1: Chapters in Introduction to Biomedical Engineering Chapter Title
Conference Session
Transformative Learning in STEM: Accessibility, Social Impact, and Inclusivity in Higher Education
Collection
2024 ASEE Annual Conference & Exposition
Authors
Motahareh Darvishpour Ahandani, Arizona State University, Polytechnic Campus; Jennifer M Bekki, Arizona State University
Tagged Topics
Diversity
Tagged Divisions
Culture & Social Justice in Education Division (EQUITY), Equity
capture the nuanced experiences of this group, as well as anacademic culture that inadvertently maintains exclusions. Future work will look to identify andamplify these root causes so that they can be attended to, in turn supporting the development ofeffective mental health interventions for all graduate students.ReferencesArksey, H., & O'Malley, L. (2005). Scoping studies: towards a methodological framework. International Journal of Social Research Methodology, 8(1), 19-32. https://doi.org/10.1080/1364557032000119616Anandavalli, S., Borders, L. D., & Kniffin, L. E. (2021). "Because Here, White is Right": Mental Health Experiences of International Graduate Students of Color from a
Conference Session
ECE Education and Engineering Mathematics
Collection
2004 Annual Conference
Authors
Seyed Zekavat
An Evaluation of the Teaching Approach for the Interdisciplinary Course Electrical Engineering for Non Majors S. A. Zekavat1, C. Sandu2, G. Archer1, and K. Hungwe3 1 Dept. of Electrical and Computer Engineering, Michigan Tech University, Houghton MI 49931, 2 Dept. of Mechanical Engineering, Virginia Polytechnic Institute and State University, Virginia, 24061, 3 Dept. of Education, Michigan Tech University, Houghton MI 49931.AbstractThis paper presents an evaluation on the teaching approach for the interdisciplinary course“Introduction to Electrical Engineering (EE) for non-EE majors” performed by surveying threegroups from the
Collection
2008 GSW
Authors
Isa Tan; Dr. Amir Karimi
currently based on the saturated liquid properties at the given temperatures only.For example, it is a common practice to approximate specific volume, v(T, p), by saturatedliquid specific volume, vf(T), the specific internal energy, u(T, p), by saturated liquid specificinternal energy, uf(T), the specific entropy, s(T, p), by saturated liquid specific entropy, sf(T),and the specific enthalpy, h(T, p), by hf(T) + vf(T)[p-psat(T)]. Errors resulting from theseapproximations will be analyzed in this paper. This paper will show that these approximationsare not very accurate at all ranges of temperatures and pressures. The paper will establish limitson the range of pressures and temperatures that these approximations could be used withreasonable
Collection
1998 Annual Conference
Authors
Dushan B. Bilbija; Daniel J. Biezad
. Page 3.226.2 Response Locus MapThis is perhaps the most unique and most powerful tool of Archangel98. Below is a screen shotof the Response Locus Map form. Figure 2 – Response Locus MapThis tool is based on a correlation between two derivations of system residues. The first deriva-tion comes from a partial fraction expansion, and yields the following formula2: n xm ( s ) 1 1 1 = R1 + ... + Rn = ∑ Ri u ( s) s − λ1 s − λ n i =1 s − λ iThe second derivation comes from
Collection
1999 Annual Conference
Authors
John D. Cremin
encountered in generating RTCM SC104 messages in a lab. TheRTCM SC104 messages require synchronization with the GPS messages from the satellites tothe receiverConclusionBoth NMEA and ARINC 429 waveforms have been simulated in the laboratory and comparedwith waveforms from actual equipment.Generating lab DGPS waveforms which can be used with low cost GPS receivers presents achallenging problem, but one which should provide students with much insight into GPS andDGPS theory and operation. GPS S A T E L L IT E S A IR B O R N E /M A R IN E G P S R E C E IV E R S GPS GROUND CONTROL
Conference Session
Curriculum and Assessment III
Collection
2019 ASEE Annual Conference & Exposition
Authors
Seyed Mousavinezhad, Idaho State University; Cheryl Xu, North Carolina State University
Tagged Divisions
Computing and Information Technology
Paper ID #26981Science and Engineering Courses, Theory and Practice; An ExampleDr. S. ”Hossein” Mousavinezhad P.E., Idaho State University Dr. Mousavinezhad was the principal investigator of the National Science Foundation’s research grant, National Wireless Research Collaboration Symposium 2014; he has published a book (with Dr. Hu of University of North Dakota) on mobile computing in 2013. Professor Mousavinezhad is an active mem- ber of IEEE and ASEE having chaired sessions in national and regional conferences. He has been an ABET Program Evaluator for Electrical Engineering and Computer Engineering as well as
Collection
2006 Spring ASEE Middle Atlantic Section Conference
Authors
Xinzhou Wei; Kenneth Markowitz; Aron Goykadosh
the values of f1(S) and f2(S) for each of the elements of the set S,f(S) = ( f1(S), f2(S) ) = { f1(α1), f1(α2), ..., f1(αN/2), f2(α1), f2(α2), ..., f2(αN/2) } (mod q), the valuesof g1(S) and g2(S) for each of the elements of the set S. The polynomials f and g will be kept asthe signer’s private key. Then the signer sends the set of values g(S) to the verifier, where the setS, f(S) are the signer’s public keys. In order to use PASS as a digital signature scheme for the RFID system, we apply the hashfunction SHA-1 to it. An output of a 160-bit string has been produced, and will be used in theformatting function. The string is divided into four groups and each has five bytes. We use Bi torepresent one byte of it. The signer constructs the
Conference Session
Knowing our Students, Faculty, and Profession
Collection
2010 Annual Conference & Exposition
Authors
Katherine Winters, Virginia Tech; Holly Matusovich, Virginia Tech; Ruth Streveler, Purdue Universtiy
Tagged Divisions
Educational Research and Methods
grounded in SDT has found differences in factorsidentified as important to students in comparison to researcher assessed methods.17-19MethodsTo guide our research, we used case study methods20, 21 in combination with the self-determination theoretical framework. In our work, each participant represents a case and weanalyze within and across cases.22 The cases include eleven engineering students at apredominantly technical school (TPub) in the western mountain region of the United States.TPub is a public research university devoted to engineering and applied science. Approximately2,500, or 75 percent, of the 3,300 students are undergraduates, and about 80 percent ofbachelor‟s degrees earned annually are in engineering. Data for this study include
Conference Session
Industry-Based Projects
Collection
2004 Annual Conference
Authors
Paul Duesing; David Baumann; David McDonald
appropriate departments, and create anagenda that covers the appropriate areas related to the design. Topics presented at the meetinginclude meeting objective(s), customer requirements, cost figures, drawings, FEA-reports,engineering changes, test reports, and an open issues list. The design engineer is also responsiblefor appointing someone to take and distribute minutes of the meeting. The minutes will contain Page 9.846.2 Proceedings of the 2004 American Society for Engineering Education Annual Conference & Exposition Copyright © 2004, American Society for Engineering Educationa list of attendees, the objective(s
Collection
1996 Annual Conference
Authors
Yildirim Omurtag; Rawin Raviwongse
role in theeconomy. During the 1990's a double digit growth (11.8-13.9%) has been recorded.[2] The manufacturingsector's share of the Gross Domestic Product (GDP) has increased steadily from 13% in 1960 to 26% in1990. During the same period the agricultural share of the GDP has dropped from 40% to just over 12%.[3] In order to support the rapidly expanding manufacturing sector, there is considerable need forskilled personnel in the manufacturing field. During the mid 1980's to the early 1990's, Thailand hasexperienced a scarcity of technical personnel at all employment levels. The situation compelled thegovernment to relax the employment regulations governing non-Thai engineers, scientists, and techniciansand to establish a long term
Collection
2021 ASEE North Central Section Conference
Authors
Cyrus K Hagigat, The University of Toledo
. Figure 2: simplified suspension system modelThe force in a spring is its constant multiplied by its displacement and the force in a hydraulicsystem is the damping of the hydraulic system multiplied by velocity. Based on these facts, theequation of motion for the system of figure 2 is as shown in equation (1). m(d2xo/dt) + c(dxo/dt – dxi/dt) + k(xo – xi)= 0 (1)Rearranging equation (1) and applying the Laplace transform formulas put equation (1) in theform shown in equation (2). [2] (mS2 + cS + k) Xo(S) = (cS + k)Xi(S) (2)The transfer function of a control system is defined as the output of the system divided by theinput of the system in
Conference Session
Design of Laboratory Experiments
Collection
2006 Annual Conference & Exposition
Authors
Bradley Burchett, Rose-Hulman Institute of Technology
Tagged Divisions
Division Experimentation & Lab-Oriented Studies
(1) y ? CxWhere, x is the state vector consisting of base disk twist angle { and angular velocity {% , andpendulum swing angle s angular velocity s% . ] x ? { {% s s% T _As illustrated above, r is the distance from the center axis of the base disk to pendulumlongitudinal axis, Jd and Jp are the disk and pendulum centroidal moments of inertia respectively,b1 and b2 are revolute joint viscous damping, T is the applied control torque, lCG is the distancefrom mounting joint to pendulum center of gravity, and mp is the
Conference Session
Potpourri of Engineering Mathematics
Collection
2003 Annual Conference
Authors
John Schmeelk, Virginia Commonwealth University Qatar Branch
Education” 2 ds1 ds 2 Cϖ = ∫∫ ω ( s1 , s 2 , (3.3) s1 s 2leading to the inversion formula, f(x)= Cϖ −1 da1 da 2 db1 db2 ∫∫∫ (a a ) 2 {(T wav
Conference Session
Physics and Math Division Luncheon
Collection
2003 Annual Conference
Authors
John Schmeelk, Virginia Commonwealth University Qatar Branch
)}( {T wav g )(a1 , a2 )(b1 , b2 )} = Cϖ ( f , g ) . 1 2Proof. See references13,14.The Cϖ in Theorem 3.2 equals 2 ds1 ds 2 Cϖ = ∫∫ ω ( s1 , s 2 , (3.3) s1 s 2leading to the inversion formula, f(x)= Cϖ −1 da1 da 2 db1 db2
Conference Session
Concurrent Paper Tracks - Session II
Collection
2015 ASEE International Forum
Authors
Stephen U. Egarievwe, Alabama A&M University
Tagged Topics
International Forum
U.S. Nuclear Regulatory Commission through award number NRC-27-10-514; and the U.S. Department of Homeland Security, Domestic Nuclear Detection Office,under competitively awarded contract/IAA award number 2012-DN-077-ARI065-03.References 1. S. U. Egarievwe, “Vertical Education Enhancement – A Model for Enhancing STEM Education and Research,” Global Conference on Contemporary Issues in Education, Las Vegas, Nevada, USA, July 12 – 14, 2014. 2. B. H. Bradford, “Applications of semiconductor detectors to nuclear medicine,” Nucl. Instrum. Methods Phys. Res. A., vol. 436, no. 1-2, pp. 102–110, (1999). 3. L. Verger, M. Boitel, M. C. Gentet, R. Hamelin, C. Mestais, F. Mongellaz, J. Rustique, and G. Sanchez, “Characterization
Conference Session
Software Engineering Course Content
Collection
2008 Annual Conference & Exposition
Authors
Salamah Salamah, Embry-Riddle Aeronautical University, Daytona Beach; Ann Gates, University Of Texas - El Paso
Tagged Divisions
Software Engineering Constituent Committee
. 2) The absence property is also known as alarm. Existence (P ) 1) Event or condition P holds at least once within the states defined by the scope of interest. 2) The existence property is also known as eventually. U niversality (P ) 1) Event or condition P holds in every state of the scope of interest. 2) The universality property is also known as safety or invariant. (S) P recedes(P ) 1) S holds before P holds, where S and P are events or conditions 2) S may hold several times before P holds 3) P does not hold before S holds 4) P may hold at the same state as S holds 5) If S holds, then
Conference Session
NSF Grantees’ Poster Session
Collection
2014 ASEE Annual Conference & Exposition
Authors
Andrew Kline, Western Michigan University; Betsy M. Aller, Western Michigan University; Ikhlas Abdel-Qader, Western Michigan University
Tagged Topics
NSF Grantees Poster Session
Tagged Divisions
Division Experimentation & Lab-Oriented Studies
Paper ID #9552Increasing Opportunities and Improving Outcomes for Undergraduate Stu-dents in the College of XXXDr. Andrew Kline, Western Michigan University Associate Professor, Chemical Engineering Site Director, MI-LSAMP at Western Michigan University PI, S-STEM Scholars at Western Michigan UniversityDr. Betsy M. Aller, Western Michigan UniversityDr. Ikhlas Abdel-Qader, Western Michigan University Page 24.735.1 c American Society for Engineering Education, 2014 Increasing Opportunities and Improving
Conference Session
Instrumentation and Laboratory Systems
Collection
2005 Annual Conference
Authors
Matthew Feemster
had yet to be covered in the concurrently taught ES301 “DynamicSystems Modeling and Simulation” course, the block diagram model of the dynamometer setup ofFigure 4 was provided for the students T2 ( s ) Ωm ( s ) I1 ( s ) T1 ( s ) 1 E1 ( s ) + − G1 ( s ) G2 ( s ) +− G3 ( s ) θ (s
Conference Session
Systems Engineering Education Research
Collection
2013 ASEE Annual Conference & Exposition
Authors
Robert J. Albright P.E., University of Portland
Tagged Divisions
Systems Engineering
this simple modeling of car motion, and where x(t) is theinput (force excitation resulting from pressing the gas pedal) and y(t) is the output (displacementresponse of a car). The Laplace transform of this differential equation is: Ms2Y(s) + BsY(s) + KY(s) = X(s) (2)where X(s) and Y(s) are the Laplace Transforms of x(t) and y(t), respectively.3 The displacement, velocity, and acceleration responses of the two cars for various car andinput parameters are illustrated in the following sections. For simplicity, units for the parametersand variables are not included in the equations of motion of the two cars.A. Displacement, Velocity, and Acceleration Responses of Each Car to a Step Input
Conference Session
Historical Perspectives for Engineering Education
Collection
2010 Annual Conference & Exposition
Authors
Atsushi Akera, Rensselaer Polytechnic Institute
Tagged Divisions
Liberal Education
DevelopmentAs demonstrated by accounts such as Thomas Friedman‟s The World is Flat1 and the Engineer of2020 investigations by the National Academy of Engineering,2 engineering educators are onceagain focusing on necessary changes to our national engineering workforce. If there ever were anopportunity draw useful lessons from history, it would surely be on this topic. Concerns about an“engineering manpower” crisis persisted throughout the Cold War years in American history,fueled by massive federal expenditures and the emphasis placed on science and its application tothe nation‟s arsenal and economic wealth. Even as we proceed to transform, if not dismantle, theinstitutional apparatus developed to meet the exigencies of the Cold War period, it may well