the PSpice Archive is available for download as .zip files from the following URL:http://ee.uttyler.edu/David_Beams/Projects/pspice archives/PSpice Archives.htmBibliography1. Nilsson, J., and Riedel, S. Electric Circuits, 8th Edition. Prentice-Hall, 2007.2. Hambley, A. Electronics, 2nd Edition. Prentice-Hall, 2000.3. Sedra, A., and Smith, K. Microelectronic Circuits, 5th Edition. New York: Oxford University Press, 2003.4. Tobin, P. PSpice for Digital Communications Engineering. Morgan and Claypool, 2007.5. Tobin, P. PSpice for Analog Communications Engineering. Morgan and Claypool, 2007.6. Rashid, M., and Rashid, H. SPICE for Power Electronics and Electric Power, 2nd Edition. Boca Raton, FL:CRC Press, 2006.7. Castaner, L., and Silvestre, S
,Nakao and Treas’ index12 was similarly challenging in our opinion because prestige varies byculture, geography, society – and with the ever-changing American economy, over time.Researchers have also used zip codes as a means by which to infer SES (inapplicable to foreign Page 13.1091.3students) and financial aid status, which is not always known by the student, and which in anycase requires the same projections and assumptions on the part of researchers as other methods.When determining a university student’s SES, researchers rely on their literature-groundedapproximation being more accurate than one the respondent may make. We question the
, English, History, and Science7.The use of technology in the classroom has shifted from chalkboards to smart boards andComputer-based instruction. Outside of the classroom, it is increasingly common for students toparticipate in engagements such as sports and/or math and science clubs where projects andcompetitions take place to promote learning. Most American children and teenagers have apersonal computer in their house and are well versed using the computer at a young age.Additionally, video games have become more popular than movies in America resulting inyoung people developing a different set of skills than those of 50 years prior. Page
, real-time control, active noise control, and dynamic system modeling. He received his BSME at Cal Poly San Luis Obispo, MS and Ph.D. at Michigan State University where he worked on active noise control applications for the automotive industry. He has worked in the vibration test and measurement industry helping to drive new technologies to market and working with industry to meet their emerging needs. He is currently an Assistant Professor at California Polytechnic State University at San Luis Obispo in the Department of Mechanical Engineering teaching dynamics, vibrations and controls and is involved in several undergraduate and master’s level multidisciplinary projects. His recent
classreturned to campus, to develop ideas for their own automated cell to be built from theirnewly acquired components. Four more visits were strategically planned over the nexttwo months to provide the high school teacher and students with the skill sets needed toreplicate the University’s automated cell lab projects on a smaller scale. Page 13.566.3The design and fabrication of the modules purchased by the high schools were college-based class activities in electronics and material processing courses. The only expensesto the high schools were the cost of the components. The secondary educators have beenthrilled to have “plug and play” modules that genuinely
detailed experimental data area result of an Intel Corporation project. Results from a graduate course at PurdueUniversity in the Dept. of Electrical & Computer Engineering Technology are alsoinlcuded. This paper could provide a quick introduction into the buck-boost converterworld.Converter Features, Capabilities and UsagesThe converters come in Buck (step-down) and Boost (step-up) combinations. Some arewell aligned for 12 V automotive applications by having a 4 – 18 V input range foroutputs ranging from 3 - 20 V. This is important since automotive voltages sag duringstarting and heavy loading. They also surge at higher engine RPMs and heavy electricalload shutoff. For example, 5 V or 12 V portable electronics can be supplied with stablepower
teaching modules for AutoIDtechnologies and their application areas. The result of such an implementation is a powerfuleducational tool that is utilized to support innovative curriculum activities and provide hands-onlaboratory experiments to on-campus and off-campus students. This project not only increasesthe understanding of AutoID technologies and their applications, but also improves students’attitudes about engineering education and enhances their confidence towards the targetedtechnologies. Partial support for this work was provided by the NSF CCLI program.IntroductionThe Auto-ID and RFID technologies are becoming more popular than ever while being led byindustry rather than academia. As a result, a gap between the corporate practices and
search for engineering instructors,the NMAA implementation team visited Kabul Polytechnic Institute. Initial efforts to recruittheir faculty to serve as adjuncts at the Academy did not succeed. Recently, however, the UnitedStates Army Corps of Engineer’s Afghan Engineer District has had success hiring KabulPolytechnic graduates to serve as project engineers. Perhaps the success of the Kabul Universityadjuncts at NMAA can entice the Institute to enlist in the partnership as well. The inclusion ofthis educational resource has the potential to propagate the spirit of cooperation to another sectorof Afghanistan’s intellectual elite.Hope for the Future Afghanistan today is a nation hungry for engineers. Soviet occupation, the struggle forpower
. Page 13.424.9 • Hands-on experience with online control and monitoring. • Broader view on the future of industrial networking in implementing computer-integrated manufacturing.The online laboratory currently is not available 24/7 for online students due to the securityconcern. However, it does provide convenient access for online students. They can schedule theirlab activities in evenings and weekend days while the instructor can monitor the process throughthe Internet camera.VI. ConclusionRemote virtual laboratories over the Internet are feasible for long-distance applications.Experiences from this project show that multiple aspects must be taken into consideration toobtain adequate performance of the online laboratory. It
undergraduate degrees compared to the EU’s 1 milliondegrees and China’s 1.7 million degrees in 2016 (NSB, 2020). By 2025, the U.S. is projected tobe short 2 million STEM workers (National Science Foundation, 2018). A better understandingof the barriers that result in students disconnecting or dropping out of STEM fields is essentialfor increasing engagement and retention of STEM undergraduate students.There is a growing demand for skilled STEM workers in both the United States and around theworld. However, despite this growing need for a skilled STEM workforce, there is a highattrition rate among STEM undergraduate students, with 48% of students leaving their STEMfields (Chen, 2013). Leaving a STEM field may involve either changing to a non-STEM
focusing on the cardiac health of adolescents would benefitthe most in using the random forest algorithm when doing supervised machine learningclassification studies. While there are a few modified versions of each algorithm studied that mayperform with a greater accuracy with the given data, the outcome of the random forest algorithmproving the highest accuracy nevertheless shows how future adolescent cardiac studies can delveinto modifying the random forest algorithm to perform at an even higher level.Discussion and ReflectionsMuch knowledge on the basics and fundamentals of machine learning and how it works was gainedthrough the execution of this project. Specific knowledge on how machine learning is a type ofartificial intelligence that splits
, University of Florida, Gainesville, FL, 2015,[5] P. Guo, K. Yuan, and Z. Huang, "Develop Web-based Modules to Educate High-School Students in Studying Microbial Fuel Cell Dynamics," presented at the 2017 ASEE Mid Atlantic Section Spring Conference, Baltimore, Maryland, 2017.[6] S. Nersesov and Z. Huang, "Work in Progress: Development of MATLAB Instructional Modules for Engineering Students," in 2019 ASEE Annual Conference, Tampa, FL, 2019.[7] Z. Huang, Doing Cool Research Projects in Simulating Biochemical Reactors on Computers by a Layperson: MATLAB and R Codes, and Instruction Videos. Lafayette hill: IVY STEM Outreach Publishing, 2019.[8] Z. Huang. (2021
Calculus” ASEE Annual Conference, 2010A. Grossfield “Calculus Without Limits” CIEC Annual Conference. 2016A. Grossfield “Partial Derivatives and Tilted Planes in Three Dimensions” CIEC Annual Conference. 2018A. Grossfield “A Comparison of Differential Calculus and Differential Geometry in Two Dimensions” CIEC Annual Conference 2020S. Thompson Calculus Made Easy The Project Gutenberg EBookP. Dawkins http://tutorial.math.lamar.edu
1 foot from the other 38×10 side wall, lies a speck of dust. What is the shortest distance in feet to two decimal places that the dustbug can crawl along the room’s surfaces to reach this dust?6. Five biomedical engineering students decide to meet in the lobby of Nedderman Hall at noon to discuss a class project. Each student, independent of the others, is equally likely to arrive between 11:52 a.m. and 12:04 p.m. What is the probability that at least 3 of the students arrive by noon? Express your answer as a reduced fraction. Proceedings of the 2003 ASEE Gulf-Southwest Annual Conference The University of Texas at Arlington Copyright 2003, American
member to work in a research project on campus for another department to avoidany confrontations.In 1997 summer, a new interim chair was appointed. During the summer, he appointedhimself as full time, gave one faculty member full time, and a second faculty membertwo third of full time. He gave a third faculty member one third of full time. This is thesame faculty member who was denied fair summer employment in 1996. Prior to theappointment of the current interim chair, there was a personality conflict between thenewly appointed interim chair and the third faculty member. When the faculty memberasked the interim chair why he gave one of the faculty members two third of full time?The interim chair said because the faculty member had more children
2003, American Society for Engineering EducationThose databases provide the information needed to analyze and evaluate orders and what it willtake to fill them at the highest level. ERP can project costs to fill an order, determine sourcingoptions, and figure order profitability. When these and related factors for one order are evaluatedagainst the same parameters for other orders, the ERP system ultimately forecasts the impact onthe bottom line. Planning Execution MES ERP WMS SCP OMS
” KoehnEnno “Ed” Koehn is professor of Civil Engineering at Lamar University. Professor Koehn has served asthe principal investigator for several research and development projects dealing with various aspects ofconstruction and had experience in the design, scheduling and estimating of facilities. In addition, he hasauthored/ co-authored over 200 papers in engineering education and the general areas of civil andconstruction engineering. Dr. Koehn is a member of ASEE, AACE International, ASCE, NSPE, ChiEpsilon, Tau Beta Pi, and Sigma Xi and is a registered professional Engineer and surveyor. Proceedings of the 2008 ASEE Gulf-Southwest Annual Conference The University of New Mexico- Albuquerque
of methods and systems forobjective measurement and detection requires the identification of the dependent physicalparameters, which are impacted by flow patterns. Any attempt to find such parameters and describetheir relationships contributes to the process of finding such a system to detect flow patterns. Thispaper presents the results of an exploratory experimental research project on two variations ofoptical system response to changes of three arbitrarily chosen flow patterns and changes of mixtureviscosity. The analysis of the results should provide guidance for the next steps in the developmentof flow pattern detections and the applicability of optical systems to this purpose. The evaluation ofthe application of optical systems to
, so students cannot move the check cell away from the answer cell andreplace it with one of their choosing. Making the checked cell both locked and hidden preventsits formula from being seen. If students are permitted to look at the formula to determine the an-swer, then do not make the check cell hidden.Professors can make cheating even more difficult by using random number generators to provideproblems for each student that have the same logical structure, but different parameters. For ex-ample, one student’s problem might have an initial investment of $100,000, whereas another stu-dent’s might have a cost of $103,000 and a slightly different project life. Students still can mimicthe logic of someone who has gotten his or her question
characterizing other electricity markets and larger geographicregions. Thus, the model structure provides the ability to reach a wider audience. IntroductionThe Texas Interactive Power Simulator was designed at the University of Texas at Austin inpartnership with Power Across Texas, a 501(c) (3) non-profit organization. The purpose of thepartnership was to devise a model that effectively communicates key lessons concerning thetradeoffs of electricity generation methods to a predominately Texas audience. Target audiencesinclude students, state legislators and their staff, as well as the general public. The TexasInteractive Power Simulator accomplishes the project goals by allowing the user to manipulatethe
Libraries collections contain a sizable number of microforms, audiotapes,photographs, maps, manuscripts, and very rare materials. They are the main researchfacilities for the University, for Lebanon and for the region. Plans are underway to enhancethe collections and the facilities, with a focus on major additions to the electronic resources.The “Faculty Subject Specialists – PhD Programs” were launched in the summer of 2006.The aim of this project was to enrich the library collections by acquiring for theresearchers resources that equal or surpass those that are available in model American Page 13.520.6universities that the AUB emulates. To do so
playguitar. Moving later to Paris, he published both studies and original compositions. The modern classical guitar was the design of Antonio de Torres (1817-1892)whose “guitars have more volume and projection, with a larger, deeper body.”Improvement in internal bracing, and the larger body, enhanced the instrument’s tone andvolume. The twentieth century saw the guitar became again a major classical instrument,due to the efforts of Andres Segovia. In parallel, the guitar and other instruments wereseen often in Cubist style paintings. The classical and avante garde camps both espousedthe instrument as its popularity rebounded. Page 13.1191.6
, onecomputational (finite difference) project, and a laboratory final exam. Formal laboratory reportsare typically required for eight experiments, and are submitted as group reports. The otherexperiments use pre-assigned flow prediction assignments with verification during the laboratoryperiod. Laboratory groups are assigned based on common scheduling availability, which tendsto cluster students of the same major together.Accountability within each laboratory group is encouraged by rotating group leadership, with theleader receiving a doubly-weighted grade for that laboratory. The laboratory final is also used tohelp differentiate between students within groups. This final includes selected problems toillustrate knowledge of the experimental systems
), the only place the excess voltage Vdc RLcan “go” is across the switch. In effect, the inductorthrows all its stored energy at the switch in an effortto keep the current from dropping: “Oh no you don't. . . take that!” Thus, the absence of R1 haspositioned the switch to become the object of the Figure 8: Buck Converter without R1inductor’s wrath.Mesh AnalysisThough not, strictly speaking, an application ofpersonification, the task of writing a mesh equation 2.7 kY 3.3 kYcan be simplified by using a related technique:“projecting” yourself into the circuit and pretending 1.1 kY I1 I2
thischallenge the majority of the students favor its use. We need to use a more diverse set ofproblems to capture the interest of all the students.References 1. Diefes-Dux HA, Moore T, Zawojewski J, Imbrie PK, and Follman DA. A framework for posing open-ended engineering problems: model-eliciting activities A framework for posing open-ended engineering problems: model-eliciting activities. Frontiers in Education, 2004. FIE 2004. 34th Annual, edited by Moore T, 2004, p. F1A-3-8 Vol. 2. 2. Schwartz, D. L. and J. D. Bransford. "A Time For Telling." Cognition and Instruction 16(4): 475-5223. 1998 3. Bransford, J.D., Vye, N., Bateman, H., Brophy, S. P., and Roselli, R.. Vanderbilt’s AMIGO Project: Knowledge of how people learn
fundamentalconcepts, usually through questions involving minimal calculation. Examples are a conceptinventory for dynamics2, a tool complementing the previously developed Force ConceptInventory3, and for statics4.It can be argued that using only concept inventories to provide proof of student learning is anincomplete assessment as engineering knowledge consists of both conceptual knowledge andskill intertwined. For instance, while demonstrating understanding of the concept of equilibriumis valuable, it is also important to be able to generate correct equations of equilibrium. Thus, as a Page 13.109.2companion project to one investigating the concepts of
Society for Engineering Education Annual Conference & Exposition Copyright @ 2008, American Society for Engineering Educationthe cooling load. Its effect has been investigated in many cases. For example Lam investigatesthe effect of surrounding buildings on producing shade [1].This paper is also used as a teaching vehicle in the senior capstone class, in which the studentsare working on a design project that includes heat gain/losses in a small greenhouse, the use ofPV modules to charge a battery and also drive a small, centrifugal pump.Thermal modelIt is important to use a model that has the ability to handle the heat storage properties of thebuilding. For instance, if the night is particularly cold, the building model
between continuous-time and discrete-time domains, (2) graphical (vector)analysis of the Fourier transforms, (3) aliasing in the frequency and time domains, and (4) thenonlinearity and non-uniqueness of the mapping z = esT.Complete details of the method will be presented, and the software is freely available toeveryone, for educational purposes, in the form of a Matlab® toolbox.1. IntroductionThe ability to use computers at the lectern, enabled by relatively cheap projection equipment, hastremendous potential for computer-aided teaching. This is not a reference to being able topresent PowerPoint slides, using computers in essentially the same way we would use overheadprojectors to show static transparencies. Rather, we now have the ability to
Education Conference: San Diego, California.2 McKinney, D. & Denton, L.F. (2005). Affective assessment of team skills in agile CS1 labs: the good, the bad,and the ugly. SIGCSE Bulletin, vol. 37, no. 1, March 2005, pp. 465-469.3 Hansen, Stuart & Eddy, Erica (2007). Engagement and frustration in programming projects. SIGCSE Bulletin, Page 13.324.7vol. 39, no. 1, March 2007, pp. 271-275.4 Gungor, Almer, Eryilmaz, Ali, & Fakioglu, Turgut (2007). The relationship of freshmen’s physics achievementand their related affective characteristics. Journal of Research in Science Teaching, vol. 44, no. 8, pp. 1036-1056.5 Denton, Leo F
statedobjectives, and taking into account set constraints or specifications. Bounded definitionsgenerally acknowledge that engineering design is also contextually-driven, and the mostcommon contexts that engineering students are asked to consider to inform the design areeconomic, environmental, and social (public safety)2. With strong consensus on the need toinclude design content and experiences into the curriculum in meaningful ways, a well-acceptedrepertoire of teaching and learning methods emerged. Teaching methods tend to focus on open-ended projects, often industry-based, completed either individually or in groups or teams.Curricular models tend to focus on freshman-year experiences, capstone experiences, andvertically- and/or horizontally