student will post the URL link in to the course home-page (Wibliography)and talk to the topic for 5 minutes followed by a brief Q&A session. The activity has a certaingrade allocation associated with it for class participation. Each student will identify the source andevent (or news), location, how it is tied to the current course and its importance. The student willalso discuss quantification as applicable to the subject matter being taught. Students are alsoexpected to interpret the news or event as they see it and give their opinion (positive or negative).As noted, this is an exercise in critical thinking and data synthesis (students can discuss otherrelated events). The instructor publishes a schedule for all students. The News of the
G o o d n e s s o f F it : R - S q u a r e d = 0 . 8 3 , S S E = 7 . 6 0 5Figure 9: Typical open loop unsteady-state duplet test for height; first order plus dead timemodel used. Note that the response and model fit data appear in the upper portion of the plot,while the set point appears in the lower portion of the plot. Lo o p -P ro : D e s ig n T o o ls M o d e l: F ir s t O r d e r P lu s D e a d T im e ( F O P D T ) F ile N a m e : T e m p 3 _ L o o p _ P r o . t x t 37.8 P rocess V ariable
0.85 0.83 0.86 0.89 0.0317 0.46 0.46 0.51 0.46 0.45 0.44 0.45 0.47 0.51 0.56 0.47 0.36 0.48 0.5 0.47 0.0518 0.26 0.32 0.42 0.31 0.27 0.25 0.24 0.25 0.3 0.32 0.27 0.26 0.31 0.24 0.29 0.0519 0.27 0.23 0.24 0.3 0.28 0.28 0.22 0.22 0.33 0.25 0.26 0.23 0.3 0.36 0.27 0.0420 0.26 0.28 0.29 0.23 0.3 0.19 0.15 0.3 0.31 0.21 0.26 0.3 0.19 0.27 0.25 0.05Table 3 - ENGINEERING ASSESSMENT Question Response Distribution Q 2013 2012 2011 2010 2009 2008 2007 AVE STDV 1 0.61 0.65 0.63 0.73 0.66 0.73 0.66 0.67 0.05 2 0.30 0.32 0.30 0.27 0.28 0.27 0.24 0.28 0.03 3 0.61 0.63 0.71 0.55 0.57 0.62 0.63 0.62 0.05 4
midterm test scores of students from Instructor B who used the hands-onapproach (only) with test scores of students (from Instructor A) who used simulation method(only). The criterion for statistical significance was set to alpha = .05. Two low score outlierswere identified in the midterm scores of the simulation group for Instructor A and these outlierswere changed to the nearest higher value within the group, (Outliers were not changed to themean scores to retain the scoring pattern of the students in the group assuming from the scoringpattern that the students were low scorers.) Examination of histograms, Q-Q plots, andKolmogorov-Smirnov test statistics indicated that the assumption of normality was met.Levene’s test indicated that the
obtained values of and n .b) Find the state-space formulation of the third order system and evaluate the stability of the system. Justify the same for the second order system as obtained in part (i).c) For the third order system mentioned above, determine the optimal control law that minimizes the performance index, J as follows: J ( xT Qx T R )dt with respect to some suitable choices of the matrices Q and R. Page 24.709.7 0Problem 3[Problem 15.2 REF. [4] Engineering Computations and Modeling in Simulink by Yakimenko] Fig. 2 SKETCH OF DYNAMICAL SYSTEM for PROBLEM 3d
Session 1526 Increasing Success in a Dynamics Course through Multi-Intelligence Methods and Peer Facilitation Louis J. Everett, Elsa Q. Villa College of Engineering The University of Texas at El Paso1.0 AbstractThe University of Texas El Paso (UTEP) located in a multicultural region of far west Texas has astudent population which is more than 70% Hispanic. UTEP is one of the largest producers ofHispanic engineers in the United States and prides itself in providing access to an exceptionalquality
with Natural Gas” University of Florida, Gainesville, Florida 32611, Nov. 19, 2004.3. Biosolid Generation, Use, and Disposal in the United States: EPA530-R-99-009, September 1999; www.epa.gov. Accessed: Nov 17, 2004.4. Manahan S. E., Environmental Chemistry, 6th ed., CRC Press: Boca Raton, Fla., 1994.5. Sutherland, J., U.S. Pat. No. 3,998,757 (1976); Nickerson, R.D.; Messman, H.C., U.S. Pat. No.3,887,461 (1975).6. Piskorzz J, Scott D S, Westerberg, I B Flash pyrolisis of sewage sludge for manufacturing adsorbents, Can. J. Chem. Eng. 1987; 65: 922-927; Lu, G Q, Low J C F, Liu C Y, Lau A C. Surface area development of sewage sludge during pyrolysis, Fuel 1995; 74: 344-3448; Lu G Q
Career Choices Industry/Research lab/Graduate Pros and Cons School Other options Business, Law, Medicine, etc.. Life-long Learning Professional Engineer PE/FE Exams Continuing Education and Self- Technological and Professional Development AdvancementsStudents are required to prepare a 15-minute presentation followed by a 5-minute Q/A anddiscussion session in the weekly workshop. We believe that it is more interesting to have severalstudent groups present these diverse topics in a mini-symposium format than by one facultylecture in the
in on itself. Q ,v1, P1 v2, P2 r1 r2=r1/2Figure 2. Students measuring bloodpressure below heart level. Thehydrostatic pressure results in a blood Figure 3. Diagram of a stenosis, or narrowing of an artery,pressure higher than that at heart level. showing local changes in velocity and pressure Table 2. Pressure decrease in a stenosis during rest and exercise.Students also discover the linear Artery dimensions are typical values taken from literature.relationship between heart rate and
line is connected to the Most Significant Bit(MSB) output pin (Q8) of the 74LS373 Latch. Once the parallel data is converted to serial form andframed for transmission, it will be transmitted at the set Baud Rate. The light emitting diode (LED) onthe transmission line is utilized to show the transmitted serial bits.The program for this project is a “software driver” that binds the computer and the external systemhardware. Figure 5 displays the schematic diagram of the system software. The program code inQuick Basic (Q-Basic) language is listed in Appendix A, and the program code in C language is listed inAppendix B. Therefore, this project can be assigned to students that have not taken high-levelcomputer programming language classes as well as
F O I G A E B D A M N T P LS T Y Y E L I S O N G J Q Carrying I
a function of RERHeat transfer through respiration Energy that is not used to perform external work is ultimately released as heat throughradiation, convection evaporation of sweat, and respiration. In this module, we are concernedwith the rate of heat transfer by respiration.During respiration, inspired air is warmed from ambient temperature to body temperature prior tobeing exhaled. In addition, water evaporates from the wet alveolar membranes to saturate the airin the lungs prior to expiration. The humid exhaled air removes heat from the body in the formof latent heat of vaporization. The rate of cooling (q, kcal/min) achieved through the process ofrespiration is
the constructionof the conveyor belt. Once the candy is on the second level, the product is distributed (FRAMEL) to several machines that weigh the candy and when the correct weight is obtained it is thendisbursed to the bagging machines. (FRAME M, be sure to click on the movie clip to see one ofthese machines in action. The movie clip is of a newer sorting machine.) Once the candy isweighed, it is dropped through the ceiling (FRAME N) to the bagging machines on the firstlevel (FRAMES O and P, be sure to click on the movie clip to see one of these machines inaction.) FRAME Q shows the computer station where statistical reports about the baggingoperation can be viewed.Problem DescriptionThe candy is transferred to the second level by dumping
) frequency component of the signal∗ and determine its magnitude, which willbe proportional to the envelope.26 A Hilbert transformer filter will generate an all-pass 90◦phase-shifted version of the received signal that is called the Q (for “quadrature”) compo-nent. The non-phase-shifted version of the received signal is called the I (for “in-phase”)component. Note that the analytic signal z(t), defined as z(t) = I(t) + jQ(t) (3)contains only positive frequency components. An important learning step for our studentsis to realize that they must account for the group delay of this FIR filter in order to alignthe I component with the Q component of the AM signal. At this
, will result in a high on thecorresponding Q output. A low on a D input will likewise result in a low on the corresponding Qoutput. When C goes low, the data that was present in the latch is retained on the Q outputsregardless of any of the D input. The ALE bus is connected to the C input of the 74HCT573integrated circuit. When the ALE key is pressed, the ALE bus goes high and the LSB of theaddress on the address-data bus is passed through the transparent latches to the address inputsA0-A7 of the 2816. When the ALE button is released, the address is retained at the A0-A7inputs. The address-data bus is then free to pass data to or from the 2816 I/O pins. Address linesA8, A9 and A10 are connected to the appropriate pins of the 2816
fictional student’s answer to a qualitative problem on static equivalence. They are thenasked to answer the following three questions a. Do you agree with Peter? Justify your answer. b. Compare the resulting forces in systems I and II. c. Compare the resulting moments relative to point Q for both systems.which roughly correspond to the three steps in the instructional strategy outlined above. Page 22.792.10 12Nm 6N IPeter: "System II is equivalent to sys- P Qtem I. Remember, M = d × F
ment ning.and learnADM1 iss a system off first-order, linear, diffeerential equaations and algebraic equaations. Amoongthe phenoomena thesee equations describe d are the t chemicall reactions thhat occur duuring biogasproductioon, mass balances of cheemicals with hin the systemm, flow of mmaterials intoo and out of thesystem, and a levels off inhibitory quantities q (pHH, nitrogen, hydrogen suulfide, etc.). Some majoorquestionss of interest for the studeents would be: b what variiables and otther factors aare importannt tothe proceess of biogass
benefits of using the cloud computing to extend the capacity of clusters”. ACM Publications 2009. http://portal.acm.org/citation.cfm?id=1551635 6. Gong, C., Liu, J., Zhang, Q., Chen, H. & Gong, Z. (2010) “The Characteristics of Cloud Computing”, Parallel Processing Workshops (ICPPW), 2010 39th International Conference on 1316 Sept. 2010, pp. 275 – 279. 7. William Y. Chang, H. A.A. (2010). “Cloud Service Architecture and Related Standards3,2”. In Transforming Enterprise Cloud Services (pp. 87132). Springer Science+Business Media B.V. 8. NIST, National Institutes of Standards and Technology, http://www.nist.gov/itl/cloud/ 9. Terry, D. (2011) “ACM Tech Pack on Cloud Computing”, ACM Tech Pack Committee on Cloud Computing
, students requested that a detailed map with directions be sentelectronically to them before the start of the program to ensure they could locate the check-in/registration area. One final recommendation was to make the program longer in order tofacilitate the peer building process (four days was too rushed). Finally, a student expressedconcern that the program overlapped with the freshman priority enrollment time. The studentcould never fully relax during the program because he/she was worried about not getting theclasses of his/her choice. Feedback from the participants about the various workshops consistently reported not havingenough question and answer (Q&A) time. Students were left with lingering thoughts andquestions about each workshop
lowest ratings were 2.20 and 2.30, for “Analysis” and Questions andAnswers”, respectively. Some of the analysis problems were related to how the input loads andrestraints were determined, rather than the use of the software itself. During the Q/A session,some groups had difficulty justifying the reasons for some of their decisions related to theiranalysis. It should also be noted that the high standard deviation for “Goals/Criteria” was due tothe lack of clarity in the purpose of the analysis (i.e. with respect to their optimization) by two ofthe groups. In summary, effectively using the material presented in this course is a challenge forour students, but while they clearly struggled on some issues, the projects provided a valuableexperience to
part of the work is supported by the Undergraduate Research Associates Programof the University of Southern California. Our data comes from a challenging university-leveloperating systems course that offers enrollment for both graduates and undergraduates. Theseforums provide an aid to students when they are away from the classroom, allowing them thebenefits of referencing solutions to similar problems and having their own addressed. Working inteams, students may come in contact with others from their group, those from outside their group,and also with the professor. Eight project forums from two semesters divide up the 418 threads(the whole containing 1841 posts) in our data. Each thread is modeled in a “Q&A” style ofdiscussion, linked up
.The initial inlet pressure P1 may be replaced in terms of L, r, and D from thevolumetric equation as below. The volumetric flow4,6 is given as 1/ 2 ( P1 2 − P2 2 ) D 5 Q = 3.39 , where f is friction factor in pipeline fL −1 / 3 f = 0.01D . The compressor volumetric flow (Q) is assumed for a centrifugal compressor as 100 million ft3/day and converted to 4.17(106) SCF/hr. hence, 1/ 2 1/ 2 5
the laboratory where they observe the operation of a shell and tube heat exchanger. Returning to the classroom, students explore the application of the performance equation for single pass heat exchangers: Page 5.93.4 q = UA∆TLM Equipped with this simple equation, students investigate the effect of each variable: Howdoes the heat exchanger area (A) affect the rate of heat transfer (q) or one of the outlettemperatures? What is the effect of the value of the overall heat transfer coefficient, U?Students are also introduced to the units of the heat transfer rate and the overall heat
thein-class exercise to assist you in completing this assignment. 1. So far in our modeling journey, we have used modes to perform ‘what if’ kind of experiments. Models can also be used for system identification. For example, if you have measured pressure and flow data you may interpret the physiological status of the cardiovascular system in terms of resistance and capacitance. The model that you completed in class calculate the arterial pressure, P a (t), given measured volumetric flow rate, Q i (t) and parameter values R and C. As a first step, adapt the code to create a plot of the measured P a (t) and modeled P a (t) using the measured data from Example1.txt file (Patient 1). After you adapt the code, alter
industries are the anticipated factors to trigger the high demand for theDigital Twin platform over the forecast period.References[1] F. Tao, J. Cheng, Q. Qi, M. Zhang, H. Zhang, F. Sui, “Digital twin-driven product design,manufacturing, and service with big data,” Int. J. Adv. Manuf. Technol, vol. 94, pp. 3563–3576,2018.[2] X. Ma, J. Cheng, Q. Qi, F. Tao, “Artificial intelligence enhanced interaction in digital twinshop-floor,” Procedia CIRP, vol. 100, pp. 858–863, 2021.[3] T.K. Ren, Y. Chew, Y.F. Zhang, J.Y.H. Fuh, G.J. Bi, “Thermal field prediction for laserscanning paths in laser aided additive manufacturing by physics-based machine learning,”Comput. Methods Appl. Mech. Eng, vol. 362, 112734, 2020.[4] R. Stark, C. Fresemann, K. Lindow
tutoring and grading to maintain fairness.2.3 Student Engagement and active learning methodsNew faculty member should utilize evidence-based learning approaches to enrich the educationalexperience for students and aim to optimize learning outcomes and foster a more engaging andeffective classroom environment[2][6]. There are several approaches can be used in classes: • Multi-source teaching: Encompass a combination of slides, whiteboard illustrations, short videos, and dedicated Q&A sessions within the lecture. This varied presentation style aims to prevent students from experiencing a lack of concentration. • In-class exerices: Each class can incorporate diverse in-class exercises, including multiple- choice
attention differently in examining physics diagrams? A study of change detection using the flicker technique,” Physical Review Physics Education Research, 11(2), 020104, 2015. https://doi.org/10.1103/PhysRevSTPER.11.020104 [36] J. W. Morphew, E. P. Kuo, Q. King-Shepard, P. Kwon, R. Lin, T. J. Nokes-Malach, and J. P. Mestre, “Seeing and doing are not believing: Investigating when and how conceptual knowledge impinges on observation and recall of physical motion,” Journal of Experimental Psychology: Applied, 27(2), 307-323, 2022. https://doi.org/10.1037/xap0000338[37] M. Perry, R. Breckinridge Church, and S. Goldin-Meadow, “Transitional knowledge in the acquisition of concepts,” Cogn. Dev., vol. 3, no. 4, pp. 359–400, Oct. 1988
stem. CBE Life Sciences Education, 15(3), 1–. https://doi.org/10.1187/cbe.16-01-0038Freeman, R., Huang, W. (2014) Collaboration: Strength in diversity. Nature 513(305). https://doi.org/10.1038/513305aMiller, P. H., Rosser, S.V., Benigno, J.P., Zieseniss, M. (2000). A desire to help others:goals of high achieving female science undergraduates. Women Stud Q, 28(1–2), 128–142.National Science Foundation. (2024). Diversity and STEM: Women, Minorities, and Persons with Disabilities. U.S. National Science Foundation. https://ncses.nsf.gov/pubs/nsf23315/faqsOgbogu, U., & Ahmed, N. (2022). Ethical, legal, and social implications (ELSI) research: Methods and approaches. Current Protocols, 2, e354. doi: 10.1002
. Zhao, R. R. Issa, and N. Singh, “BIM for improved project communication212 networks: Empirical evidence from email logs,” J. Comput. Civ. Eng., vol. 34, no. 5, p.213 04020027, 2020.214 [4] T. Liu, H.-Y. Chong, W. Zhang, C.-Y. Lee, and X. Tang, “Effects of contractual and215 relational governances on BIM collaboration and implementation for project performance216 improvement,” J. Constr. Eng. Manag., vol. 148, no. 6, p. 04022029, 2022.217 [5] R. Samimpay and E. Saghatforoush, “Benefits of implementing building information218 modeling (BIM) in infrastructure projects,” J. Eng. Proj. Prod. Manag., vol. 10, no. 2, pp.219 123–140, 2020.220 [6] G. Chen, J. Chen, Y. Tang, Y. Ning, and Q. Li, “Collaboration