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at all joints can be determined. Thesystem equation of motion is directly obtained by the application of Lagrange’s Equation d T T V − + = Q using the generalized coordinate θ, where V is the system potential dt energy, i.e., V = 12 m 2 g r sin , T is the system kinetic energy, i.e., d 2 1 d 2 1 T = 12 + 2 I2 + 2 m 2 v2 + ( 12 m3 v3 ) , and Qθ is the generalized torque due to 2 2 I1 dt dt torques that do work, i.e., Q
.) A1 (m2) D2 (in.) A2 (m2) (in.) s2) Q (ml) t (s) (m3/s) CD (ave.) SD 1 A 1 1.029 0.00054 0.078125 3.0927E‐06 13.75 3426 500 55.1 9.07E‐06 1.12 2 1.029 0.00054 0.078125 3.0927E‐06 13.75 3426 500 54.5 9.17E‐06 1.13 3 1.029 0.00054 0.078125 3.0927E‐06 13.75 3426 500 54.4 9.19E‐06 1.14 1.13 0.0078 B 1 1.029 0.00054 0.09375 4.4535E‐06 13.75 3426 500 37.1 1.35E‐05 1.16 2 1.029 0.00054 0.09375 4.4535E‐06 13.75 3426 500 36.1 1.39E‐05 1.19 3 1.029 0.00054 0.09375 4.4535E‐06 13.75 3426 500
transition: An exploration of emerging adulthood, Journal of Counseling & Development, vol. 88, no. 2, pp. 174-181, 2010.[3] T. D. Ngo, A. Kashani, G. Imbalzano, K. T. Nguyen, and D. Hui, Additive manufacturing (3D printing): A review of materials, methods, applications and challenges, Composites Part B: Engineering, 2018.[4] Q. Gao et al., Fabrication of electrospun nanofibrous scaffolds with 3D controllable geometric shapes, Materials & Design, vol. 157, pp. 159-169, 2018.[5] Z. X. Khoo et al., 3D printing of smart materials: A review on recent progresses in 4D printing, Virtual and Physical Prototyping, vol. 10, no. 3, pp. 103-122, 2015.[6] M. Abshirini, M. Charara, Y. Liu, M. Saha, and M. C
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significantly. Thestudents were surveyed on the following questions regarding agile practices: Q-A1: “Working in pairs on this project was challenging.” Q-A2: “Having bi-weekly gate presentations to briefly discuss the progress in team project helped me to be more engaged in the group's progress and makes team work and communication between the students and the instructor more transparent.”The survey results show that only 20% of students found working in pair to be challenging,which was previously pointed out by students as a main challenge during the second yearimplementation of the design project (only PBL). This was complemented by the results of thesecond question where 80% of students found the bi-weekly gate presentations
International Symposium for NextGeneration Infrastructure Conference, pp. 131-135. London, UK.[13] Huang, H. W., and Zhang, D. M. (2016). Resilience analysis of shield tunnel lining underextreme surcharge: Characterization and field application. Tunnelling and Underground SpaceTechnology, 51, 301-312.[14] Wu, D., Liu, H., Yuan, C., and Wei, D. (2016). A quantitative assessment framework for post-earthquake transportation network resilience using fuzzy logic. In Transportation Research Board95th Annual Meeting (No. 16-3864).[15] Zimmerman, R., Zhu, Q., de Leon, F., and Guo, Z. (2017). Conceptual modeling frameworkto integrate resilient and interdependent infrastructure in extreme weather. Journal of InfrastructureSystems, 23(4), 04017034.[16] Wang, L
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horizontal direction. Develop the standardequations of motion for this system. Also, in the special case with Fa 0 , determine the natural(undamped) frequency n for small-amplitude oscillations of the system due to gravity alone.Constraints and RelationsBased upon the rolling-without-slipping condition for the disk on the support surface, it is foundthat the kinematics and relative positions of various points on the system are governed by xP rd vP rd aP rd (31) rQ/P 12 lb [sin i cos j] , rC/P rd j (32)where points P and Q identify the respective mass centers of the disk and bar, and C identifiesthe point of contact
Quadrature Amplitude Modulation (QAM) Complex-envelope representations for AM systems MATLAB/Simulink Simulation – I/Q and Complex Envelope for AM 4 Introduction to angle modulation Concepts of frequency and phase modulation; modulators and demodulators Spectrum/Bandwidth of FM waveforms, Carson’s Rule MATLAB/Simulink Simulation – FM Systems 5 Complex envelope representations for FM/PM Case Study: Broadcast FM Radio Midterm Exam MATLAB/Simulink Simulation – I/Q and Complex Envelope for FM/PM 6 Introduction to digital communications Digital carrier modulation: ASK
incapable of learning or discerningfact from fiction without the assistance of an intellectually superior individual to teach them ordumb-down the material through parables or simplified rules. Patrick Quin describes Aquinas’Super de Trin.2.4 “that theological truth is best transmitted to the faithful in parabolic form… itmight, he thinks, confuse the uneducated who would misunderstand it and be ridiculed byunbelievers who detest it anyway” [10]. Aquinas states: “…it is said in Luke 8:10, ‘To you it is given to know the mystery of the kingdom of God, but to the rest in parables.’ Therefore one ought by obscurity in speech conceal the sacred truths from the multitude” (Pars 1 q. 2 a. 4 s. c. 3). “…the words of a teacher ought
nospelling and grammar mistakes, and professionally formatted. The final submittal was worth 10points. Then, on Tuesday, December 3rd, students were asked to provide a 10 minutepresentation to a panel of industry professionals. The small group meeting on that Tuesdaystarted one hour later than the usual meeting, to allow students’ further preparation, and theremaining 120 minutes were allocated for presentation and questions and answers (Q&A). Toprovide more authenticity to the task, course managers invited industry professionals toparticipate in an evaluation panel of the students’ presentation. They were recruited from theprogram’s industry partners (industry advisory board). In the call for industry professionals,instructors indicated
carry water at a rate of 550 gpm (1.21 ft3/s). What is the total headloss for this length of pipe? 2 Which 8-inch pipe with a length of 500 feet A. friction factor, fd = .015; would have the greatest headloss? Assume: Q = roughness coefficient, C = 160 550 gpm (1.21 ft3/s), each pipe is made of new B. friction factor, fd = .02; unlined Schedule 40 steel, turbulent flow, each roughness coefficient, C = 140 pipe is flowing full, and there is no change in C. friction factor, fd = .025; elevation between point A and point B. roughness coefficient, C = 120
opportunityfor schema construction (germane load) is possible. Note that although our model currently showsonly 4 LESs, we expect that this number will increase over time as more pedagogical approachesare integrated.The main objective of the proposed model is through research find the values of a, b, c, d, e, q, r, s,and t in the equations F2FA (aCL + bGA + cPBL + dSI + eLS) and OA(qCL + rGA + sPBL + tSI)that maximizes student learning and engagement. Where F2FA and OA are the face-to-face andonline activities respectively. CL - collaborative learning, GA - gamification, PBL - problem-basedlearning and SI - social interaction are the LESs, and LS - lecture style the traditional approach.You may think of a, b, c, d, e, q, r, s, and t as the percentage of
.[13] J. Cha and Y. He, Zhongguo gongcheng jiaoyu gaige san da zhanlue (Three Straetgies in Chinese Engineering Education Reform), Beijing: Beijing Institute of Technology Press, 2009.[14] Q. Gu, "The work, lives and professional development of teachers in China," Asia-Pacific Journal of Teacher Education, vol. 41, no. 3, pp. 235-238, 2013.[15] Y. Wei, "Yingjie jiaoyu yanjiu de xin fanshi: Shenjing jiaoyuxue [Embracing a new paradigm for educational research: Neuroeducation]," 19 December 2012. [Online]. Available: http://www.cae.cn/cae/html/main/col35/2012-12/27/20121227152437045647584_1.html. [Accessed 4 February 2019].[16] D. Starr, "China and the Confucian education model," Universitas, vol. 21, pp. 1-27, 2012.[17] R. L
deepening? Paper presented at the annual meeting of the American Educational Research Association, San Antonio, TX.19 Cousins, J. B., & Earl, L. M. (1992). The case for participatory evaluation. Educational Evaluation and Policy Analysis, 14, 397-418.20 Patton, M. Q. (2008). Utilization-focused evaluation, (4th ed). Thousand Oaks, CA: Sage.21 Stufflebeam, D. L., & Coryn, C. (2005). Evaluation theory, models, & applications, (2nd ed.). San Francisco: Jossey-Bass.22 Patton, M. Q. (2010). Developmental evaluation: Applying complexity concepts to enhance innovation and use. New York: Guilford.23 Johri, A., & Olds, B. M. (2011). Situated Engineering Learning: Bridging Engineering Education Research and the
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, but to also introduce them along the way to some basictheoretical knowledge needed to understand the complexity of the final product. The researchteam’s expectation was that exposing the participants to an introductory level of knowledge fromvarious fields will stimulate their interest and will help them identify engineering areas that areof specific interest to each of them. The workshops activities were split between hands-on, Q&Aand presentations, with the latest starting with a brief introduction to the theory of bio-inspiredrobot mechanisms, 3D modeling, animation, STL generation, slicing, G code generation, printingof the robot segments, and concluding with the prototype. The workshops focus was on theconnection between 3D computer
; Exposition, 2017.[36] D. J. Wilde, “Team Creativity,” in Education that Works: The NCIIA 8th Annual Meeting, 2004, pp. 77–80.[37] M. S. Kim and Y. S. Kim, “Analysis of perceived creativity and design team interaction,” in ASME 2007 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, 2007, pp. 559–568.[38] Z. Qian, Y. Lan, J. Feng, and Q. Yiping, “Teamwork approach for senior research projects for college undergraduates,” in 2012 7th International Conference on Computer Science & Education (ICCSE), 2012, pp. 1999–2001.[39] N. Gonzalez, L. Moll, and C. Amanti, Funds of Knowledge : Theorizing Practices in Households, Communities, and Classrooms. Mahwah, NJ: Lawrence
(Q) are shown in Table 1 foreach of the three courses in the capstone sequence. We consider 1-5 scores greater than 4 and 5-1scores less than 2 to be exceeding expectations. The results in Table 1 show students meet orexceed expectations in these metrics. Tracking these results through the academic year providesinsights in how perceptions of team satisfaction and task conflict change over time. For example,we observe that Team Satisfaction scores degrade by about 12 to 15% and Task Conflict scoresincrease by 14 to 18% during the capstone period.Table 1. Results of the CATME peer-assessment tool showing results from six survey questions for each of the three terms of the capstone sequence. Scale range is 1-5. For (Q
UMI Workshop June 18-20, 2018 Monday, June 18th 6:00 pm Welcome Reception & Dinner The Alexandrian Hotel Tuesday, June 19th 7:30 am Breakfast 8:00 am Welcome and Introduction 8:05 am Introduction of Potential New Partners 8:15 am Overview of Status of the Project 8:30 am Q&A 10:15 am Morning Break 10:30 am Session – Mega/REU/RET 12:00 pm Working Lunch 1:30 pm
, Thailand, August 20 - August 28, 1999[7] R. Ali, N. Abu-Hassan, M. Y. M. Daud, and K. Jusoff, "Information literacy skills ofengineering students," International Journal of Recent Research and Applied Studies vol. 5, no.3, pp. 264-270, 2010.[8] Q. Q. Zhang, M. Goodman, and S. Y. Xie, "Integrating library instruction into the coursemanagement system for a first-year engineering class: An evidence-based study measuring theeffectiveness of blended learning on students' information literacy levels," College & ResearchLibraries, vol. 76, no. 7, pp. 934-958, Nov 2015.[9] P. Ramamurthy and E. Siridevi, "Information literacy search skills of students in fiveselected engineering colleges in Chittoor district, Andhra Pradesh: A
). 𝑃𝑄 𝑒= = 𝐹1 (𝑃, 𝑄, 𝜏, 𝜔) … . (2) 𝜏𝜔To determine the variables that affect pump efficiency of the fluid system the variables that affectequation (2) were defined. Identifying that flow rate 𝑄 is a function of q = displacement volume,ω = angular velocity, µ = fluid viscosity, and T = temperature. In addition, the overall efficiencyfunction shown in equation (3) was determined by knowing that output pressure P is a function ofτ = torque, 𝑄 = flow rate, µ = fluid viscosity, and T = temperature. 𝑒 = 𝐹(𝑞, 𝜔, 𝑃, 𝑄, 𝜏, 𝜇, 𝑇) … . (3)In general, the efficiency of any pump system is a function of many independent variables
functions: Inflating a balloon The change in the volume of a constantly inflated / deflated balloon depends on thechange in its radius which changes as a function of time (Figure 10). Figure 10: Inflating a balloonQuestion: What is the change in volume of the balloon as a function of the incoming air flowq(t)?Assuming a spherical balloon, its volume V is 4 𝑉 = 𝜋 𝑟3 3If the radius changes with time due to the incoming air rate, q(t), then according to the ChainRule 𝑑𝑉 𝑑𝑉 𝑑𝑟 𝑑𝑞
. Groza, and S. Bixwas, “Sensor Based Home Automation and Security System”, February 5, 2018 6. H. Huang, S. Xiao, X. Meng, and Y. Xiong, “A Remote Home Security System Based on Wireless Sensor Network and GSM Technology”, February 5, 2018 7. “Safer. Smarter. Z-Wave”, Z-Wave, Silicon Laboratories, http://www.z-wave.com/, February 5, 2018. 8. Blynk. Retrieved April 08, 2018, from http:docs.blynk.cc/ . 9. https://www.geekstips.com/temperature-sensor-dht22-ds18b20-arduino-tutorial/, Accessed on April 2018.10. https://www.google.com/search?q=arduino+light+sensor&safe=active&source=lnms&tb m=shop&sa=X&ved=0ahUKEwiCm43PqLraAhVjx1QKHeIwBpsQ_AUICigB&biw=16 82&bih=921#spd=0, accessed on April
factors. We will examine the multi-dimensionality of the academic resilience construct by testing the three-factor model against afour or five factor model. Future studies will explore diversity of participants, examine genderdifferences among different samples and explore other demographics. Lastly, we intend to usethe validated instrument as a tool to examine causal relationships between academic resilience,students’ school engagement, and other motivational factors that influence academicachievement, especially for students who are most vulnerable to high academic stress.References[1] G. Windle, K. M. Bennett, J. J. H. Noyes, and q. o. l. outcomes, "A methodological review of resilience measurement scales," vol. 9, no. 1, p. 8, 2011
/64/papers/14871/view.[Accessed: March 29, 2018].[7] J. R. Rest, D. Navaez, S. J. Thoma, M. J. Bebeau, “DIT-2: Devising and testing a revisedinstrument of moral judgement,” J. Ed. Psych., vol. 91, pp. 644-659, Dec. 1999.[8] Q. Zhu, C. B. Zoltowski, M. Kenny Feister, P. M. Buzzanell, W. C. Oakes, A. D Mead, “Thedevelopment of an instrument for assessing individual ethical decision-making in project-baseddesign teams: Integrating quantitative and qualitative methods,” in 121st ASEE AnnualConference & Exposition, Indianapolis, IN, USA, June 15-18, 2014, [Online]. Available:https://peer.asee.org/23130. [Accessed: Mar. 29, 2018].[9] L. Kohlberg, R. H. Hersh, “Stages of moral development,” Theory Pract., vol. 16, pp.53-59,Apr. 1977.[10
learned at various stages of the project h) Applying strategies that seek to strengthen your interdisciplinary collaboration i) Developing strategies that contribute to your professional growth (e.g., diversifying for broader learning, relationship building, etc.)Q. 9 Please select all the programs you are associated with at your institution from the choices below. __Engineering __Education __Learning Sciences __Psychology __Engineering Education __Other ______Q. 10 For how many years have you been teaching in higher education? ______Q. 11 For how many years have you been involved with interdisciplinary engineering education research? ______Q. 12 Please select the job or title that best