) and the Technology Accreditation Commission (TAC) of the AccreditationBoard of Engineering and Technology, Inc. (ABET) [1,2]. Designing curricula and courses thatutilize these modern tools without short-changing coverage of classical engineering theory canbe a delicate balance. Consider the use of finite element analysis (FEA) software. In the1970’s and early 1980’s, most courses in FEA courses were taught at the graduate level, withheavy emphasis on theory. Later in the 1980’s and into the 1990’s, FEA classes were added atthe undergraduate level, as use of the tool became more widespread in industry. Becausecommercial FEA programs were complex to learn and use, it was difficult to combine significanttheory with instruction in how to use a
vmpp vmppDifferentiating (1) gives v iRs 1 R di di v isat e t s (10) dv v v dv t t This gives v mpp i mpp Rs i sat vt
, 2008 4. Chang, K.C., Digital System Design with VHDL and Synthesis, IEEE CS, 2006 5. Sandige, Richard S., Digital Design Essentials, Prentice-Hall Inc., 2002 6. Altera Cooperation, FPGA University Program Tutorial Using Verilog HDL, 2008BiographyTariq Qayyum graduated from University of Engineering and Technology Lahore, Pakistan with BSEE degree in1978 and with MSEE degree from Rochester Institute of Technology, Rochester New York in 1982. He has beenteaching at Cal Poly Pomona since 1986. His interest includes digital design, microprocessors, and programminglanguages. Proceedings of the 2009 American Society for Engineering Education Pacific Southwest Regional Conference
(“Two-Dimensional, Steady-State Conduction”) of Incropera et al.’s textbook4, while the transient problem was adopted from Chapter 5 (“Numerical Methods in Heat Conduction”) of Çengel’s textbook5. Proceedings of the 2009 American Society for Engineering Education Pacific Southwest Regional Conference 294 A long bar of rectangular cross-section (0.4 m × 0.6 m) with a thermal conductivity of k = 1.5 W/m · °C, is subjected to the following boundary conditions: two sides are maintained at 200°C, one side is insulated, and the remaining side is subjected to convection with the
veryfriendly and useful for better understanding of the basic terms used in random variables andprocesses.AcknowledgementThis work was supported in part by the CONACYT under Grant No. 91013. Proceedings of the 2009 American Society for Engineering Education Pacific Southwest Regional Conference 344References 1. Li, S. G. and Lie, Q. (2004). Interactive Groundwater (IGW): An Innovative Digital Laboratory for Groundwater Education and Research, Computer Applications in Engineering Education, 11(4), 179-203. 2. Jovanovic Dolecek, G. (1997). RANDEMO: Educational Software for Random Signal Analysis, Computer Applications in
experiment’s parameters and Components control points, such as motors, solenoids, heating Figure 1. Remote Lab Environment (RLE) Components element, switches, etc.• Data acquisition & control unit (DAQ): an interface between the sensors and actuators, other instrument devices and computer- server(s). This module’s chief functionality is to communicate the computer commands to actuators as well as communicate the data measurements to the computer.• Computer (microcontroller): this component basically runs the experiment software and goes through the experiment steps and interacts with the user via the DAQ and sensors/actuators. Many controllers are available in the market. The National
industrial partnership affects the student’senthusiasm and participation. It is therefore the responsibility of engineering professors toremain active and involved in the industrial partnerships of their college in order to ensure theirsuccess. References1. Reynolds, Terry S. The Engineer in America: a Historical Anthology from Technology and Culture. Chicago U.a.: Univ. of Chicago, 1991. Print.2. Grayson, Lawrence. The Making of an Engineer - An Illustrated History of Engineering Education in the United States and Canada. John Wiley and Sons, 1993. Print.3. Lamancusa, John S., Jose L. Zayas, Allen L. Soyster, Lueny Morell, and Jens Jorgensen. "THE LEARNING FACTORY: Industry-Partnered
ahumidifier in the housing. A low noise fan is generally less than 16dB, with a volumetric flowrate of 0.017m3/s [10]. Not only are these fans able to deliver a high enough flow rate withoutbeing too loud, but they can be purchased inexpensively. The velocity of these airs should be lessthan 0.35m/s, to the baby is not uncomfortable. There is also a small hole in the center of thebottom panel; this hole is used for wires, and the tubing for oxygen. There is also a ventilationoutlet, so that the air has somewhere to go when there is new air being pumped in.Sensors:Sensors are an extremely important aspect of any piece of medical equipment. Thermistors arebeing used to monitor the temperature, because of their range and accuracy. Infants need a
of assignment between Open and Distance Learning, vol. 5, 2004.assessments, and time allocated per assessment. [13] P. N. S. Järvelä, J. Laru, and T. Luokkanen, " Structuring and regulating collaborative learning in VII. ACKNOWLEDGEMENTS higher education with wireless networks and mobile tools," Educational Technology & Society, vol. 10, pp. 71-79, 2007.The Research Team would like to thank the MMI [14] a. S. B. E
Department of Defense(DoD) Grant W911NE-11-1-0144. REFERENCES[1] R. Kamdem, P. Cotae and I.S. Moskowitz,” Threshold based stochastic resonance for the binary-input ternary output discrete memoryless channels,” Proceedings of the IASTED-CIIT, pp. 61-66 May 2012.[2] Ira. S. Moskowitz, P. Cotae, P. N. Safier, and D. L. Kang, “Capacity Bounds and Stochastic Resonance for Binary Input Binary Output Channels,” Proc. of the IEEE Computing, Communications & Applications conference. pp. 61-66, Jan. 2012.[3] S. Kay, J. H. Michels, H. Chenand and P.K.Varshney,”Reducing probability of decision error using stochastic,”IEEE.Trans on Signal processing, vol.13, pp.695 – 698, Nov.2006.[4] A
permission to an RJ45 Ethernet port and aamong both satellites as seen in CubeSat Design kill switched recommended by CubeSat [4] while DC/PIPSpecifications Document [4] which will give a velocity of 5 mission has a two patch antennae for conductingmm/s. experiments and GPS mission has GPS antennae ad both of them have similar charges.In DC/PIP mission specified friction equipment will bringCubeSat to zero velocity as they are launched of 10-meter E. Mass Budgettether. In GPS mission a slow drift will be present which Table 2 shows the budget for CubeSat missions of 1
fact the junior electronics courses (ELE342and ELE343) constituting prerequisites for this course also emphasize design but at a smaller scale andusing discrete BJT and off-the-shelf ICs rather than at the chip level using CMOS technology. Thisemphasis on “design” in our electronics sequence of courses has been implemented starting with an NSFgrant to establish and develop a “Computer-Integrated-Electronics” Laboratory (C.I.E. Lab) in the early1990’s. The concept of “Computer-Integrated-Electronics Laboratory” simply brings computers into theelectronics lab where designs implemented are tested for verification. Availability of PC-basedcomputational and graphics software along with inexpensive circuit simulation tools like “PSpice
experiment’s parameters and Components control points, such as motors, solenoids, heating Figure 1. Remote Lab Environment (RLE) Components element, switches, etc.• Data acquisition & control unit (DAQ): an interface between the sensors and actuators, other instrument devices and computer- server(s). This module’s chief functionality is to communicate the computer commands to actuators as well as communicate the data measurements to the computer.• Computer (microcontroller): this component basically runs the experiment software and goes through the experiment steps and interacts with the user via the DAQ and sensors/actuators. Many controllers are available in the market. The National
Great Problem Seminars: Engaging First Year Students in Project-Based Learning Brian Savilonis,1 Kent Rissmiller 2In the early 1970’s, Worcester Polytechnic Institute (WPI) promoted project-based learning to the core of itsacademic program. At that time, WPI redesigned its graduation requirements to include two required projects [2].One project is undertaken within the student’s major field of study is completed during the senior year. A secondproject is usually completed during the junior year and challenges students to work on an interdisciplinary problemat the interface of science, technology, and societal needs [4]. For both projects, effective teamwork is a key skillemphasized
successful program development occurred due to thecooperative strategy employed and careful consensus building during early concept formation. Conversely, thefailures occurred due to the lack of a cooperative strategy employed during the early development of the failedprograms: either the vision was not sufficiently well articulated or the collaborator(s) were not sufficiently engagedto develop and advocate for a shared vision. In other words, clarity of vision is not sufficient; process matters.Keywords: Engineering administration, experiential learning, program development, wisdom. Circuits & Sensing Design & UTeach
”, Polymer Composites 4, pp 40-46 (1983).[3] Z. Ounaies, C. Park, K. Wise, E. Siochi, and J. Harrision, “Electrical properties ofsingle wall carbon nanotube reinforced polyimide composites”, Composite Science andTechnology 63, pp 1637-1646 (2003), available online at sciencedirect.com.[4] Dietrich Stauffer, Taylor and Francis, “Introduction to Percolation Theory”, (1985).ISBN 0-85066-315-6.[5] O. Meincke, D. Kaempfer, H. Weickmann, C. Friedrich, M. Vathauer, and H. Warth,“Mechanical properties and electrical conductivity of carbon-nanotube filled polyamide-6and its blends with acrylonitrile/butadiene/styrene (ABS)”, Polymer 45, pp 739-248(2004), available online at sciencedirect.com.[6] S. Bose, A. Bhattacharraya, A. Kulkarni, P. Poetscheke
important to keep inmind the goals of using a formative assessment strategy. Ultimately, the goal of assessing aportion of the design process is to assist student motivation and learning. This is a primaryobjective of formative assessment, which uses a circular process of evaluating, providingfeedback, and corrective instruction7. By informing students of the importance of the problemdefinition phase, it can help set the stage for the balance of the project and ensure that creativesolutions are developed in an orderly and timely fashion. Students also become quickly familiarwith the formative rubric assessment scheme early in the project.Key ConceptsBy adopting Dominick et al.’s outline for the design phase, it is logical to employ a breakdownof
carsare a hot research area for car manufacturers. By the mid-2020’s, most agencies predict this newphenomenon will transform the automobile market. These cars will make our roadways safer,our environment cleaner, our roads less congested, and our lifestyles more efficient. Because ofsafety, manufacturing costs, and limitations of current technology, autonomous off-road vehicles,such as people movers in large industrial or academic institutions, will probably emerge beforeautonomous high-speed highway driving. A three year multidisciplinary capstone project isunderway which will transform a golf cart into an autonomous people mover. In year one, thecart will be converted to remote control. In years two and three independent
“SCIENCE$”. Each path from the root to a E $6leaf traces out a suffix whose starting pointis stored in the leaf. To search for a E N C E $4substring start at the root and try to trace it $7out staying within the tree, i.e. the substring“C” occurs at positions 2 and 6 in the text. I E N C E $3 N C E $5 S C I E N C E $1 $8 The next step is compaction. Strings of edges with no branching are compacted to a single edge labeled by asubstring of the text rather
a number of instructionalapproaches using the aggregation tool, develop complementary tools, and authentically engage teachers in theinquiry process by asking them to partner with us on the design of InterLACE’s software. REFERENCES[1] Barron, B.J.S., Schwartz, D.L., Vye, N.J., Moore, A., Petrosino, A., Zech, L., et al, “Doing WithUnderstanding: Lessons From Research on Problem- and Project-Based Learning,” The Journal of the LearningSciences, 7, 1998, 271–311.[2] Bell, P., and Winn, W. “Distributed Cognition, by Nature and by Design,” in Theoretical Foundations ofLearning Environments, D.H. Jonassen and S. Land (eds.), Lawrence Erlbaum Associates, Mahwah, NJ, 2000.[3] Brown
instant in time. Also seen in Figure 5 is ablock of text added by the student stating “ Tip velocity when bar was horizontal was 172in/s whichis 14.25ft/s. Calculated value was 14.32ft/s.” Note also that Figure 5 is a kinetic simulation of therod falling under the effect of gravity, whereas the previous figures demonstrated only kinematicsimulation. 5 © American Society for Engineering Education, 2015 2015 ASEE Northeast Section Conference Training engineers to devise their own means of teaching themselves is critical to an ABETaccredited program, yet it is not clear that traditional homework
of the MG components areimplemented as threads in the simulation. The energy generator, energy storage, and loadsperiodically update the manager about their status. Fig. 1. The structure of a smart grid with four micro- grids For the economic return on the investment of an individual MG, a performance metric foreach MG is proposed. An overall performance index of each MG can be calculated as: 4 Q = w1 F + w2 E + w3 S (1) F is a cost index of electricity, E is an environmental effect index due to atmosphericemissions, and S is a satisfaction index of the power
functional lifetime of sensor networks”, Proceedings of the 4th International Symposium on Information Processing in Sensor Networks (IPSN), pp. 13-19. [3] Soro, S. and Heinzelman, W. B. (2005) “Prolonging the lifetime of wireless sensor networks via unequal clustering”. Proceedings of the 19th IEEE International Parallel and Distributed Processing
, “Efficient frequency-based classification of respiratory [1] S. C. Tarrant, R. E. Ellis, F. C. Flack et al., movements,” in IEEE International Conference on “Comparative review of techniques for recording Electro/Information Technology (EIT), pp. 1-5, 2012. respiratory events at rest and during deglutition,” [15] K. Watanabe, and T. Watanabe, “Non-contact sleep Dysphagia, vol. 12, no. 1, pp. 24-38, 1997. stage estimation method,” IEEE TBME on Biomedical [2] R. Gilbert, J. Auchincloss, J. Brodsky et al., “Changes in Engineering, vol. 10, no. 51, pp. 1735-1748, 2004. tidal volume, frequency, and ventilation induced by their [16] W. Xu, M.-C. Huang, J
Proceedings of 2014 Zone 1 Conference of the American Society for Engineering Education (ASEE Zone 1) Random Word Retrieval for Automatic Story Generation Richard S. Colon, Sr., Prabir K. Patra, and Khaled M. Elleithy If we consider the activity of creating literature, can a Abstract— Over the past forty years, significant research has computational system write a story such that a reader wouldbeen done on story/narrative generation in which the computer is not know the story was computer generated? Can the storiesthe author. Many existing systems generate stories
whose mission is to provide design and project opportunities, hands-on experience, anda network to engineering students. ESG offers a range of opportunities for students to developand implement engineering projects. Through these competitions, students expand their skills,knowledge, and experience.This paper highlights the ESG 's semesterly competitions and demonstrates the important role theorganization has in promoting pre-engineering students on the UNG Gainesville campus. Theapproaches employed by ESG to maintain viability will encourage the creation of EngineeringStudent Guilds at other colleges and universities.KeywordsEngineering, Design, Bridge, and Endurance Vessel BoatIntroductionUniversity of North Georgia is a coeducational, four
, certificates in Organizational Leadership and Technical Project Management, and a Bachelor of Science in Business Administration from Strayer University.Dr. Andrew B. Williams, The Citadel Andrew B. Williams, Ph.D. is the Dean of Engineering and the Louis S. LeTellier Chair at The Citadel School of Engineering. Dr. Williams is an alumni of the National Academy of Engineering Frontiers in Engineering Symposium and the National GEM Consortium Ph.D. in Engineering Program. He received both his Ph.D. in Electrical Engineering with an emphasis in AI and his BSEE from the University of Kansas.Dr. Kevin Skenes, The Citadel Kevin Skenes is an associate professor at The Citadel. His research interests include non-destructive
orthe percentage successful students, i.e. students who obtained >70% almost doubled in number.Note, students were not told in Summer 2024 that the best 2 out of 3 tests would be considered toentice them to learn the course properly. The only encouragement they had was the two-attempttests. For this reason, one sees the participants percentage was still 100% for T3’s first attempt,A1 in comparison to the 78% for T3 in Figure 1. The interesting, yet surprising results is that withless possibility of cheating students still did better, while they were given more chances (MAT) tolearn and do well in the course, given that the examination material is the same for both abovecourses, no adjustments done to any of the questions pools
://www.tandfonline.com/doi/full/10.1080/03055698.2017.1347497[2] S. Salminger et al., “Current rates of prosthetic usage in upper-limb amputees – haveinnovations had an impact on device acceptance?,” Disabil. Rehabil., vol. 44, no. 14, pp. 3708–3713, Dec. 2020, doi: 10.1080/09638288.2020.1866684.[3] E. A. Biddiss and T. T. Chau, “Upper limb prosthesis use and abandonment: A survey ofthe last 25 years,” Prosthet. Orthot. Int., vol. 31, no. 3, pp. 236–257, Sep. 2007, doi:10.1080/03093640600994581.[4] I. I. Borisov, O. I. Borisov, D. S. Monich, T. A. Dodashvili, and S. A. Kolyubin, “NovelOptimization Approach to Development of Digit Mechanism for Bio-Inspired Prosthetic Hand,”in 2018 7th IEEE International Conference on Biomedical Robotics and
fact the junior electronics courses (ELE342and ELE343) constituting prerequisites for this course also emphasize design but at a smaller scale andusing discrete BJT and off-the-shelf ICs rather than at the chip level using CMOS technology. Thisemphasis on “design” in our electronics sequence of courses has been implemented starting with an NSFgrant to establish and develop a “Computer-Integrated-Electronics” Laboratory (C.I.E. Lab) in the early1990’s. The concept of “Computer-Integrated-Electronics Laboratory” simply brings computers into theelectronics lab where designs implemented are tested for verification. Availability of PC-basedcomputational and graphics software along with inexpensive circuit simulation tools like “PSpice