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circuit in Figure 3 to a 1V step input for a circuitwhere ω n is normalized to 1 rad/s. The figure shows two underdamped cases (α = 0.1 and0.707), one critically damped case (α=1), and one overdamped case (α=1.5). The least dampedcase clearly shows classic damped harmonic oscillation, where energy is being transferredbetween the inductor and the capacitor and slowly dissipated in the resistor, behavior identical tothe damped harmonic motion of the spring-mass-damper system of Figure 2. The transfer of Page 10.394.8reactive power between the capacitor and inductor for the least damped case (α=0.1) is shown in Proceedings of the 2005
workplaces, which can positively affect productivity,commitment, and performance [20].Theoretical FrameworkWithin engineering education, the role of values remains relatively underexplored (perhapsbecause engineering culture often positions itself as free of values or biases), but outside ofengineering education, examining these issues is not new. Researchers in social andorganizational psychology have examined values through numerous approaches and frameworks,e.g., [46]-[49]. For this study, we turn to Schwartz et al.’s values framework [50] [51], which weleverage due to its seminal and popular nature and proven utility in understanding how valuesinfluence behaviors and priorities in a range of domains (e.g., workplaces [51] [52]). WhileSchwartz et
year student awareness of the possible career paths in surveying engineering.Future work will focus on implementing version one of the immersive laboratories, as well asincluding more terrains (from off campus locations), surveying exercises (e.g., total station andtopographic mapping), and making refinements in the handling of the instrument and virtualreality environment.AcknowledgementsStudents Eric Williams, Vincent Pavil, John Chapman, Joe Fioti, Malcolm Sciandra, andCourtney Snow are acknowledged for their involvement in the data collection and modeling ofthis research.References[1] F. M. Fung, W. Y. Choo, A. Ardisara, C. D. Zimmermann, S. Watts, T. Koscielniak, E. Blanc, X. Coumoul and R. Dumke, "Applying a Virtual Reality Platform
concepts inmodeling of mechanical systems in the ME undergraduate curriculum. Likewise, this conceptaligns with the topic of vibration modes of mechanical systems14. The transfer function modelfor creep in terms of the spring and damper elements is13,15 N y ( s) 1 1 Gcreep ( s ) ? ? -Â , (5) v( s ) k 0 i ?1 sci - k iwhere ki and ci are the spring and damper constants, respectively [see Fig. 3(a
Analysis of SiC-2/ Aluminum Composite Box Beams Oscar Barton, Jr. and Clinton Cornell United States Naval Academy Annapolis, MD 21402 and Edward Lenoe United States Military Academy West Point, NY 10996AbstractIn this paper the relative capabilities of metal matrix composite (MMC) box beams fabricatedby welding and brazing techniques are explored. The metal matrix composite system consist ofsilicon carbide fibers and T6061 aluminum matrix with the laminate stacking sequence of [0,±45, 0] s. To assess
Professor Robert J. Hefner in developingthe workshop format and the Users’ Guide.References1. S. K. Gupta et. al., Integrating numerical computation into BSME curriculum at RIT, ASEE St. Lawrence Section Meeting, Buffalo, NY, 1985.2. S. K. Gupta, Gaussian elimination with maximal row pivoting and scaling, Proceedings of the 1988 ASEE Annual Conference, v5(1988)2205-2207.3. S. K. Gupta and R. J. Hefner, Creative problem solving strategies and tools, ASEE St. Lawrence Section Page 2.383.4 Meeting, Seneca College, ON, 1992.4. R. J. Hefner and S. K. Gupta, Problem Solving Tools in Engineering Education, ASEE St. Lawrence
], the reviews done by students are themselves reviewed byother students, to give students an incentive to submit good reviews. In this case, no student mayreview his own work, nor may (s)he review her own review. A mapping that satisfies theseconstraints is called a “valid” mapping.2. Overview of our strategyThe basic idea of this algorithm is similar to the banker’s algorithm [SGG 01] used for resourceallocation in operating systems.Definition 1. A mapping assignment of a reviewer to a reviewee is valid if it does not cause areviewer to review his/her own submission, and leaves sufficient valid mapping assignments forall future reviewers.Definition 2. A mapping assignment is invalid either if it does not leave enough valid mappingassignments
it holds a pivotal position withinthe curriculum. Figures 2b and 2d depict the blocking factors for the courses in the illustratedcurricula.Combining these analyses, we introduce a metric to define the cruciality of a course i, denotedCi , as the aggregate of its blocking and delay factors: Ci = Vi + LiThe curriculum’s overall complexity, S, is then calculated as the sum of the cruciality values forall courses: m X S= Ci (1) 1 (a
EnvE sub-discipline areas, state their own area(s) ofgreatest interest, and identify an employer in this area and a project they have worked on usingthe Web as a resource. Students could use the BOK to help them define EnvE and answer otherquestions on this assignment. Later in Homework 4 the students plot out a course plan tograduation that meets the requirements for the EnvE B.S. degree at the University of Colorado atBoulder. The student then mapped these courses in their 4-year EnvE degree plan onto theABET criteria for engineering and program-specific criteria for EVEN. This indicated if thecoverage of the required content in our curriculum was obvious to the students or not
undergraduate women in engineering approaches the issue interms of persistence or retention, examining factors influencing women‟s choices of major andcareer. Originally this work was driven by alarming data suggesting that women leaveengineering at higher rates than men.1,2 More recent studies suggest that women and men leaveengineering at equal rates during the college years.3,4Factors influencing persistence and attrition are often similar for men and women, but there aresome important differences. For example, Atman5 reported data from the Academic PathwaysStudy in which seniors identified motivating factors in their decisions to study engineering.Intrinsic psychological factors (liking engineering as a subject or field) and intrinsic
education. However, such physical simulations alone may notcapture all the details and flexibilities of a real environment. Therefore, a simulated VRenvironment is well suited for this learning purpose.We integrate VR, gamification with reinforcement learning to provide a holistic remote learningexperience. We create a VR learning environment simulating a manufacturing paradigm calledcraft production. The VR learning environment is built in the Unity game engine with the OculusRift S VR system for navigation and motion tracking. In the VR environment, students seethrough the headset a factory composed of a series of workstations. For the task, students areasked to design and assemble toy cars using plastic components. A set of customer
Page 12.275.8track of their learning experiences, faculty members use the electronic portfolio as a tool tomeasure the level of student understanding. The electronic portfolio can also provide importantinformation on the effective implementation of key concepts in the overall IS curriculum. Figure1 shows the components that are used to monitor the IS program effectiveness. Z U L e a r n in g O u tc o m e s C IS M a jo r C ritic a l T h in k in g a n d R e a s o n in g (C T R ) P ro b le m Id e n tific a tio n a n d A n a ly s is G lo b a l A w a re n e s s (G A ) ( P IA ) In fo rm a tio n L ite ra c y a n
life cycle engineering has been developed based on this approach through a multi-university research project, entitled “Constructionism in Learning: Sustainable Life CycleEngineering (CooL:SLiCE).” The pedagogic significance of CooL:SLiCE is that it enables betterlearning within the sustainable engineering domain by utilizing effective learning modules forpersonalized environmentally responsible product design. The CooL:SLiCE platform provides aweb-based portal with three learning modules: 1) Visualization and online computer-aideddesign (CAD), 2) Sustainable product architecture and supplier selection (S-PASS), and 3)Manufacturing analysis. These modules were first piloted by a team of students from threeuniversities with different
about 40%. 1028 1026 959 962 926 1117 1160 1179 1227 1196 989 1114 1164 100 90 s Enroll Calculus I t 80 P u Pass Calculus I e d C 70 r e a Enroll Calculus II c n l 60 e t c Pass Calculus II n s u t 50 l a s Enroll Multi‐ u g t 40
-equilibrium equation of the link about its other end. E In the hypothetical sub-mechanism, Figure 3, this means that B j is determined from the moment-equilibrium equation of link i about H E E E E ÂM js h ? Ri · B j - Rgi · fi - qi ? Ri e jsi · B j e j - Rgi e jsi · fi e ji i - q i ? Ri B j sin*s j / s i + - Rgi f i sin*i i / s i + - q i ? 0 (15) Therefore Page 13.101.8
Paper ID #10151A longitudinal study on the effectiveness of the Research Experience for Un-dergraduates (REU) program at Missouri University of Science and Technol-ogyDr. Hong Sheng, Missouri University of Science and Technology Dr. Hong Sheng is an Associate Professor in Information Science and Technology (IST) at Missouri University of Science and Technology (Missouri S&T). She is also co-director of the Laboratory for Information Technology Evaluation (LITE) at Missouri S&T. Her research interests include trust and privacy issues in information systems, mobile and ubiquitous applications, usability and eye tracking
some withdrawal from an area where aquifersconstitute a major portion of water supply for other purposes. Likewise, injection of an oxidantwith the leach solution causes valence and phase changes of indigenous elements such as As, Cu,Mo, Se, S, and V, as well as U, thereby increasing the aqueous concentrations of these species aswell. A question of major concern at ISR mining sites is how to restore the groundwater to itsoriginal chemical composition. Restoration is necessary to reduce the amounts of undesiredchemical constituents left in solution after mining operations and thus to return the groundwaterto a quality consistent with pre-mining use and potential use. One promising approach torestoring groundwater quality at ISR sites is to
representing the stator core loss; jxM – the impedance representing the mutual flux shared by the stator and rotor windings; and r2/s – the resistance representing the rotor resistance and shaft load - both reflected to the stator.The relative magnitudes are as follows: r1, r2, jx1, and jx2 are of the same order of magnitude andusually much less than unity (the larger the machine, the smaller the values); jx M is almost twoorders of magnitude larger than the jx2; and rfe is usually several times larger than jxM. Theelement rfe is disregarded more often than not by authors when numerical examples areconsidered; with rfe removed, the resulting model has been referred to in the literature as theSteinmetz Model. As will be developed, the two most
National Academy of Engineering‟s (NAE) 2004 report, TheEngineer of 20201, several aspects of the future of engineering have been undeniable. The worldpopulation is changing in mostly known ways and changing with it are the kinds of stakeholderneeds typically addressed by engineers. Government studies project population worldwide toincrease from 6 billion currently to 9 or 10 billion within the lifetimes of today‟s beginningengineers1 and this massive increase will bring with it more than the challenges of sheer volume.The demographic diversity of the global population is changing just as radically. To give oneexample, according to a US Census Bureau study, “If current trends continue . . . the percentageof whites will decline from the 2000 value
PID controller3. It is a combination ofthree distinct components and is used in closed loop feedback systems. In most cases, the inputis the error signal, which is the difference between the system set point value and the system Page 10.128.1output. The controller output signal is Proportional to: the error, the Integral of the error, and theDerivative of the error. The PID has the following form3: “Proceedings of the 2005 American Society for Engineering Education Annual Conference &Exposition Copyright©2005, American Society for Engineering Education” 1 u( s) = K[1
. The planned hands-on activities were either cancelled or replaced with videos when it ispossible. During April - June 2021, UBCO Engineering 11 was offered to the second cohort ofgrades 11/12 students from KSS primarily in the online mode. No UBCO lab visits were possible forthe second cohort due to COVID.Table 1: UBCO Engineering 11 course modules Labs or in-class Instruction Module Instructor(s) hands-on activities hours
papersthat were reviewed: 5 in pre-college, 25 in college, and 6 in post-college. A code sheet was developed using the categories necessary to answer the two researchquestions. The categories for the code sheet were ethnicity, race, gender, language(s), generationin the U.S., generation in college, and institution (college-only). When reviewing each article,the authors noted how each category was used for the purpose of data analysis. Additionally, inthe review of each article, the authors also noted the main conclusions of each study as theserelated to the status of Latinxs in engineering. After reviewing the majority of the assignedarticles, the authors met to review the preliminary findings and patterns they saw in theirrespective notes
the SLICE project (Service-Learning Integrated throughout a College of Engineering), coordinator of the graduate program in solar engineering, and coordinator of the Village Empowerment Project. Page 12.298.1© American Society for Engineering Education, 2007 Attracting Underrepresented Groups to Engineering with Service-LearningAbstractThe University of Massachusetts Lowell College of Engineering has an objective to integrateservice-learning into core required courses in every department so every student every semesterhas at least one course with S-L (SLICE: Service-Learning Integrated
those deviations that are significantlydifferent (in a statistical sense) from normal variation in the measurements are worthcorrecting. Thus we need a criterion to determine what constitutes c"ÒtgcnÓ"fgxkcvkqp"cpf"what is just random variability in the measurement.A Shewart chart (see Figure 1) is the most basic tool for determining which variations aredue to a fundamental shift in the process variable and which are merely measurement o u t l i e r f i r s t d e t e c t i o n o f d
system model, given the system transfer function.Open-loop mass-spring-damper systemA mass-spring-damper mechanical system10 excited by an external force (f) is shown in Figure 1.This second-order system can be mathematically modeled as a position (x) control system withobject mass (m), viscous friction coefficient (b), and spring constant (k) as parameters. Based ona free-body diagram, the system differential equation is expressed in (1). Using LaplaceTransform, this time-domain equation leads to a position-to-external force transfer functiongiven by equation (2). Once the transfer function is derived, a set of parameter values (m = 0.1kg, b = 1 N*s/m and k = 2 N/m) is used to obtain the system transfer function shown in (3
STEM Scholars Bridge Program for Increased Student Retention, Internship and Career Exploration at University of Southern Maine NSF Awardees Poster Session 2015 ASEE Conference Page 26.1397.2 AbstractIn the summer of 2012, the National Science Foundation (NSF) awarded the University ofSouthern Maine (USM) with a scholarship grant for “STEM Opportunities for AcademicallyCapable and Financially Needy Students: University of Southern Maine STEM ScholarsProgram” (S-STEM
Proceedings of the 2005 American Society for Engineering Education Annual Conference & Exposition Copyright 2005, American Society for Engineering Educationfrom the journal time stamps, and entered into an electronic database by date. Data were thenaggregated to the project level to increase the reliability and representativeness of the data. (SeeSobek7 for more detail on the codes and coding protocol.) Design Levels Concept System Detail Design Activities (C) (S) (D) Problem Definition
“The practice of gaining supervised practical experience is nothing new” [1]. Internshipsas part of a formal education program can trace its roots back to the Middle Ages where it wascommon practice to learn a trade under the direct supervision of a master craftsman. Apprenticesoften had to agree to “pay back” their employer by agreeing to work for a certain period of timeonce they were considered fully trained. In the early days, most, if not all of the training wasdone on the job, with little formal theoretical education. By the early 1900’s, experiential learning had established itself at institutions of highereducation in several fields. The clinical training programs for medical students were recognizedas a key component in
concepts in a team report.Data AnalysisThe design concepts were examined to identify the presence of Design Heuristics in individualdesign concepts and team design concepts3. Students indicated the title(s) of Design Heuristic(s)incorporated into their concepts during the idea generation session. For example, a directapplication of Provide sensory feedback in a design concept would be to add lights to indicatehow much force a doctor is exerting while using a medical device. For each individual concept,we documented students’ reported use of heuristics as well as how they applied the heuristic(s)they reported.Subsequently, we analyzed the extent to which heuristic-driven ideas from individuals werepresent in team-selected ideas. We used this