Social Interdependence ModelAbstractThe Leadership Development Program (LDP) at Southern Illinois University Carbondale (SIU)is a two-year undergraduate experiential leadership development program. Since inception 15years ago, the LDP has a 100 percent post-graduation placement rate. Included in this statisticare the graduates that elect to continue their graduate studies. The Pathways to STEM Leadership(PSL), an NSF S-STEM project at SIU, provides scholarships to support STEM majors’ successin the LPD. Now in its sixth year, the PSL project examines the impact early S-STEM leadershiptraining produces on transformational technical leadership in its graduates. The LDP uses aninstructional approach framed upon Social Interdependence Theory to
time and effort to construct demonstration models for instructional purpose. It is our intentin this paper to describe the lever analogy method of analysis and to present a miniature‘cookbook’ of levers for various planetary arrangements. It has been our instructionalexperience that the use of this tool not only makes torque and speed calculations easy, but alsoimproves students’ ability to visualize the results and understand the effect of gear tooth ratios.2. Modeling ProcedureThe procedure of setting up a lever system analogous for planetary gear sets is: (1) replace eachgear set by a vertical lever; (2) rescale, interconnect, and/or combine levers according to the gearsets’ interconnections; and (3) identify the connections to the lever(s
Active Sonar Thruster Thruster Video Motor Control Vessel Energy Storage Instrumentation Vessel Propeller Control *SC Passive Sonar *S Compass *S Temperature *S Inertial Measurment unit *S
Theory and Mechatronics.3.1 PID Control in a Robot Arm Figure 2: Robotic ArmConsider a robotic arm (Figure 2) with four joints:1: Turntable, 2: Bicep, 3: Forearm, 4: WristJoints are moved by a DC/Servo motor. The Robotic Arm controller consists offour PIDs (one per joint). 𝐾𝑝, 𝐾𝑖, 𝐾𝑑 for each PID loop is calculated separately.This process can be time-consuming. Alternatively, you can tune all four PID loopssubject to system-level requirements. MATLAB has the tools to calculate PIDvalues. The transfer function of a PID controller is found by taking the Laplacetransform.We can also define a PID controller in MATLAB directly using the transferfunction, for example: Kp = 1; Ki = 1; Kd = 1; C = Kp + Ki/s + Kd*s C
Manufacturing since 2010 and International Journal of Computational Materials Science and Surface Engineering since 2007.Dr. S. Hossein Mousavinezhad, Idaho State University Dr. Hossein Mousavinezhad is an active member of ASEE, IEEE and is a program evaluator for engi- neering programs (ABET). Hossein is a Professor of Electrical Engineering at Idaho State University and serves as IEEE Education Society VP, is the Founding General Chair of IEEE International Conferences on Electro Information Technology. Page 26.385.1 c American Society for Engineering Education, 2015 Computer-Aided
= (3) C pG Where: Isc – effective value of three-phase fault current’s periodic component; R – conductor’s resistance, Ohm; t – fault current duration, s; Cp – specific heat, J/kg* 0 C; G – conductor’s mass, kg; Since specific heat of conductors’ material depends on the temperature, the value of specificheat is determined for conductor’s initial temperature. Correspondingly, for aluminum Cp = 932J/kg* 0 C and for copper Cp = 390 J/kg* 0 C.Conductor’s resistance at adiabatic process is found as: R = R20 Kt , (4
developments in the study of philosophy, engineering and engineering educationThe last decade has been marked by an increasing interest among engineers and engineeringeducators in the philosophy of engineering education. In 2003 there were two major publicationsconcerned with this matter. First, Billy Koen‟s “Discussion of the Method: Conducting theEngineer‟s Approach to Problem Solving” rooted in the use of heuristics that he claimed to beuniversal [1]. Second, Louis Bucciarelli explored the connections between philosophy andengineering especially engineering design, in a book with the formidable title of “EngineeringPhilosophy” [2]. A year later, Goldman argued the case for a philosophy of engineering asopposed to a philosophy of science [3]. A
output data y(t) are digitized by the AIB board and sent to theTMS320C30 for processing. III. IDENTIFICATION ALGORITHM AND SOFTWARESuppose the continuous-time plant to be identified is represented by a transfer function, Y ( s ) N ( s) G p ( s) = = (1) U ( s ) D( s )where N(s) and D(s) are polynomials. Selecting a sampling interval T and assuming that a zero-order hold precedes the plant, an equivalent discrete time transfer function of the plant is, Y(z) b1 z −1 +Κ + bn z − n Gp (z
due to the cable and sample holder Proceedings of the 2005 American Society for Engineering Education Annual Conference & Exposition Copyright © 2005, American Society for Engineering EducationThe residual inductance, stray capacitance, and resistance of this model were computed by usingtwo-terminal elements, namely, a piece of brass (short circuit) and precision resistor (15 k-Ohm).The total admittance of this model, in general case, can be expressed by 1 Y = G p + jω C p + (1) (Rs + jωLs + Z sample ) Z s = R s + jω L s
international role in light of their nation‟s national policies. A Canadian professionalengineer of the year 2000, should be prepared [in 1982], to be capable of living his or her lifegoals as a world citizen.” I suggested then, that an Administrator of higher education planningfor the development of an engineering college to serve its nation‟s goals will need to consider 1)regional & national goals, 2) personal life goals, 3) professional practice goals and 4)international citizenship goals. Before the final submission of this hypothetical model I receiveda copy of a real model for the establishment of a Faculty of Engineering at the University ofVictoria. It was interesting to note that goals 1 and 3 were considered, 2 and 4 were not.The past two
Drexel. Since joining Penn State in 2004, has taught a variety of courses on RF and mi- crowave, electromagnetics, antennas, and communication systems to Electrical Engineering and Electri- cal Engineering Technology students. Dr. Tofighi’s main research interest for about 25 years has been on medical/biological applications of RF and microwave including wireless implants, microwave radiometry and imaging, biomedical antennas, interaction of microwave with tissues, and permittivity measurement using time and frequency domain methods. Dr. Tofighi’s main professional affiliation is with the IEEE Microwave Theory and Techniques Society (MTT-S). For many years, he has served the IEEE MTT-S in various capacities such as
transferdata in real time.One of the most important components of the communication subsystem is the antenna.Currently most CubeSats typically use patch, slot, dipole and monopole, and reflector antennas[1]. These designs all have their own advantages and disadvantages, but a common disadvantageamong them is their narrow bandwidth ranging from 1% to 45% with comparably low gain.Designing a high gain, ultra-wideband antenna to operate in the S band for a larger transmissionbandwidth may require a size that exceeds the size constraints of the CubeSat, which will requirea deployment mechanism.In this paper, a log-periodic dipole array (LPDA) is proposed. The main advantages of the LPDAare that it has a low voltage standing wave ratio (VSWR) of less than
consisted of five sequential lab activities in five consecutive weeks: the studentswere required to: 1) calibrate the level sensors and the pump; 2) model the coupled-tanks process with a transfer function; 3) obtain a closed-loop transfer function that satisfies the system performance requirements; 4) determine the controller’s transfer function Gc(s) and convert the transfer function into a difference equation that can be implemented as a digital controller on a computer; and 5) integrate the controller with the sensors, the pump, and the coupled-tanks apparatus to test and analyze the entire system’s performance.Each of these five activities is detailed in subsequent sub-sections. To help the students visuallyunderstand the
project.References[1] W. Schilling, “Issues effecting doctoral students returning to engineering educationfollowing extensive industrial experience,” in Proceedings of the American Society forEngineering Education, June 2008, Pittsburgh, PA.[2] M. L. Strutz, J. E. Cawthorne, D. M. Ferguson, M. T. Carnes, and M. Ohland, “Returningstudents in engineering education: Making a case for ‘experience capital’,” in Proceedings of theAmerican Society for Engineering Education, June 2011, Vancouver, BC.[3] D. L. Peters and S. R. Daly, “The challenge of returning: Transitioning from anengineering career to graduate school,” in Proceedings of the American Society for EngineeringEducation, June 2011, Vancouver, BC.[4] D. L. Peters and S. R. Daly, “Why do
measure angular velocity yabout the z direction (pointing out of the page). Page 13.1054.4ii Background on accelerometers can be found in 5.iii A rate gyro works by measuring Coriolis acceleration. For more on rate gyros, see 6. y Path Traversed by Point P a2 ay s a1 s
that hasserved the pre-college engineering community for over 50 years.The engineering clubs will participate in the Tests of Engineering Aptitude, Mathematics andScience (TEAM+S) competition developed by JETS. The TEAM+S competition is anacademically challenging, open-book, open-discussion exam taken by teams of four-to-eighthigh school students. TEAM+S presents the multidisciplinary aspect of engineering work byillustrating how math and science concepts work together and are applied to solve real-worldproblems.JETS and the Diversity in Engineering Technology project promote interest in engineering andengineering technology and are dedicated to providing real world engineering and problem-solving experiences to high school students. Through
performance trade-offsin maintaining, replacing, or migrating a technology, component, or system.In this paper, the process of using QTF techniques to characterize the growth and diffusion ofcomputationally and numerically intensive analytical technologies [Finite Element Analysis(FEA), Computational Fluid Dynamics (CFD), Finite Difference Methods (FDM)] is detailed.This paper presents the results of testing the hypothesis that these computational tools wouldgrow along commonly found diffusion patterns. If the hypothesis were supported, such patternswould give insight to the future development of the growing use of modeling and simulation(M&S) tools and the industry rapidly developing founded on their use. If reliable trajectoriescould be
in a week-long, NSF-sponsored workshop on Conducting Rigorous Research in Engineering Education and was an invited participant in the NSF-sponsored Engineering Education Research Colloquy Series.Trevor Harding, California Polytechnic State University Dr. Trevor S. Harding is Associate Professor of Materials Engineering at California Polytechnic State University where he teaches courses in introductory materials engineering, structural materials, and amorphous materials. Previously, he was Associate Professor of Industrial and Manufacturing Engineering at Kettering University. Dr. Harding earned B.S. degrees in Aerospace Engineering and Materials Science and Engineering (1995), an M.S. degree
. T Tclosed Open Is = 0 Figure 8: Control waveform Closed Vs = 0 Figure 7: Switch states Tclosed Ps = I s ⋅ V s = 0 (1) %Duty = ⋅100% (2) TFigure 9 is a discrete time PWM generator circuit implemented in the FPGA. The REG blocksare each registers. Registers store the increment value and threshold value IncVal and ThHold,respectively. The Phase value is represented with N p
eight independent reactions Page 11.65.3Water and R-134aA consistent naming scheme was chosen for the phase change fluids. The function calls forwater and R-134a begin with the variable to be determined, followed by an underscore, followedby the independent property(s), followed by a fluid identifier (H2O or R134a), followed finallyby the values of the independent property(s) in parenthesis. Figure 1 presents the format offunction calls for the phase change substances. The functions require that all independentproperties be entered with the appropriate absolute units. a_bc XX (b, c) Returned
(Exam (Final exam, intervention) improvement 1, improvement1, control) control) intervention) Data Set 1A: X = 75.4 X = 77.8 X = 6.0 X = 6.6 Control vs. All intervention, participants s = 12.9 s = 12.8 s = 10.9 s = 10.1 Prof. X N = 30 N = 27 N = 30 N = 27 (Fall 2015) X = 67.5 X = 69.8 X = 8.8 X = 8.6 Q1
and helpedthem interpret its results. Overall ILS profiles of the students were found to be comparablewith the Felder and Spurlin7 study indicating that the sample under study was representative.Table 1 shows category-wise percentage division of Learning Style Preferences and Table 2shows average score on all four dimensions. The average was computed by mapping thepreferences to -11 to 11. For example, in case of S/N dimensions the S preference was taken Page 24.395.7as positive and N was taken as negative. So 11(S) became +11 and 11(N) became -11. Wefound that the cohort was reasonably balanced on active-reflective and sequential
2003-1397 CHARACTERIZING THE PERFORMANCE OF THE SR-30 TURBOJET ENGINE T. Witkowski, S. White, C. Ortiz Dueñas, P. Strykowski, T. Simon University of MinnesotaIntroduction“What?!!” exclaimed one student. “Thermodynamics doesn’t work! Why am I even studyingthis stuff ?!” She was taking her senior lab – an engine lab with the SR-30 engine – and thenumbers didn’t work out… on purpose. The professor had set it up that way.The SR-30 is a small-scale, turbojet engine which sounds and smells like a real engine used tofly commercial aircraft. With an overall length of less than 2.0 feet
Manag. Stud. Entrepreneurship J. (MSEJ), vol. 4, no. 6, pp. 9481–9493,mitigate these challenges through effective sampling strategies 2023.and rigorous data validation. [10] S. Chatterjee and K. Banerjee, “Impact of social media in women entrepreneurship–unlocking potentials for business success,” J. Mines, Met. Fuels, vol. 71, no. 5, 2023. IV. CONCLUSION [11] B. D. Metcalfe, B. L. Bastian, and H. Al-Dajani, Eds., Women
from an understanding that engineers need systems thinking skills to address complexengineering problems, our research is aligned with best practices in curriculum and trainingmaterial development. Once a desired result is identified, in this case the goal is to developengineers who are able to use comprehensive systems thinking knowledge and skills to addresscomplex problems, the next step is to determine how the achievement of that goal will beassessed [8]. Such assessment(s) then guide the development of learning activities andexperiences, e.g., methods for teaching systems thinking [8]. Our analysis sought to understandthe ways in which existing systems thinking assessments relevant in an engineering contextattend to various dimensions
1.210 Using VR helped provide a better overview of the content. 134 3.51 1.237 Using VR helped to identify the critical concepts from topics in the lesson(s). 134 3.52 1.225An important aspect of the VR lesson design was usability including opportunities for interactionwith the lesson. All the 10-items of this dimension registered mean responses in the direction ofagreement with the items (Table IV). The responses indicated the user interface was userfriendly. The average of the responses was highest for the ability to review the lesson andunderstand the mistakes.Table IV: VR Lessons Usability (N = number of respondents, SD = standard deviation) Overall, I am satisfied with how easy it was to understand
Illustrator, Microsoft Word, Excel, Origin American c Society for Engineering Education, 2020 Paper ID #31061AWARDS • Chancellor’s Award at University of Wisconsin, Milwaukee • Texas A&M University Engi-neering Scholarship • Dean’s Honor List at Korea UniversityACTIVITIES/COMMUNITY SERVICE • Volunteer Judge at Texas Science and Engineering Fair • Trea-surer of International Christian Fellowship at Texas A&M University • Volunteer Teacher at Vision Ko-rean School in College station, TX • Volunteer Teacher at Saenal Night School in SeoulPUBLICATIONS 1. H. Kim, X. Huang, I. Guo, S. Cui, Z
technologies affect institutions, governments, international relations, national security.• Global knowledge circulation is now the norm and accelerating, powered by ICTs and Internet.• Nations, urban centers are shaped by, and compete for, SET assets, R&D, education and an innovation ecology .Global Grand Challenges are increasing - cooperationand pooling of S&T, engineering assets are seminal tomeet them, foster international stability and prosperity. U.S. National Security Strategy Obama AdministrationWe must first recognize that our strength and influence abroad begins with steps we take at home. We must educate our children to compete in an age where knowledge is capital, and the marketplace is global.We must
, experiments, and physicalmeasurements. The following transfer function model is used to design and simulate the PIcontroller, Θ(s) 1 kb N = 2 (1) E in (s) s La (N 2 J m + J L )s2 + [La (N 2bm + bL ) + Ra (N 2 J m + J L )]s + Ra (N 2b m +bL ) + k b N 2 The model accounts for armature inductance and resistance, gear ratio, the motor inertia androtational damping. To more accurately model the dynamics of the motor, an alternative modelthat incorporate the stick-slip torque, Tf, and the motor saturation voltage, Vsat, was implementedin MATLAB
mechanicalengineering programs1,2. It is common for the content of such a course to begin with particledynamics. For such analyses the student need only know the mass of the particle(s) involved;usually given in the problem. The course content progresses to rigid body dynamics. With theintroduction of rigid bodies, an understanding of the distribution of the mass within the body isrequired. Typically, however, that said distribution is again given or is readily determined. As aresult, students tend to view the inertial properties of a body as a trivial input to a mathematicalproblem; similar to the length of a connector or the mass of a component. In reality, determiningthe inertia properties of a real structure can be quite challenging.The project presented