After receiving our purchased mini generator via the postal mail, it was very apparent that the device was meant for water hoses and needed a significant amount of pressure to get the turbine spinning. No matter what faucet was used, the turbine would not spin and could not generate a voltage due to the small hole at the nozzle of theFigure 1: Generator components device. As a result, when 3D parts were
Paper ID #28840Navigating and Energy Generating Insole: Vibrating Walking DirectionsProf. Bala Maheswaran, Northeastern University Bala Maheswaran received his M.S. and Ph.D. in experimental solid state Physics, and MSEE in Electri- cal Engineering from Northeastern University. He is currently a senior faculty at Northeastern University. He has contributed and authored about seventy publications consisting of original research and education related papers, and conference proceedings. He has over twenty-five years of experience in teaching at Northeastern University. He is the Chair of the Engineering Physics Division, ASEE
Professional Interest Council (PIC) III and as Vice President of PICs. She has received numerous national and international awards including the ASEE Fellow Award in 2016 and the Distinguished Educator and Service Award from the Physics and Engineering Physics Divi- sion in 1998. Dr. Larkin received the Outstanding Teaching in the General Education Award from AU in 2000. In January 2014 the Center for Teaching, Research and Learning at AU presented Dr. Larkin with the Milton and Sonia Greenberg Scholarship of Teaching and Learning Award 2013. In 2013 her paper entitled ”Breaking with Tradition: Using the Conference Paper as a Case for Alternative Assessment in Physics” received an award for best paper in a special session
30.000 5.000 0.645 60 Post-Test 70.000 12.500 1.614 60Figure-1: t-Test Results for Student Knowledge 54.2. Confidence in Using Advaned Manufacuring Modules in ClassIn spring 2021, roughly 95% of the overall survey respondents from Phase I were either juniorsor seniors. Of all the students 45% were enrolled in the BME110 Introduction to Engineering and55% were enrolled in the Phase II course, PHY211 General Physics II, while the intersection ofthe two courses were found to be empty. Overall, Phase I contained a large number of studentswho self-identified as male (62.5%), and offered little diversity in terms of race, ethnicity, ordisability. All students in
Group’s ’Tutorials in Introductory Physics’ system and ’Physics by Inquiry’ curriculum in comparison to labatorials as well as observed their ongoing physics laboratory reform.Dr. Mandana Sobhanzadeh, Mount Royal University c American Society for Engineering Education, 2020 Comparison of Labatorials and Traditional Physics Labs Franco La Braca1, Calvin S. Kalman1 , Mandana Sobhanzadeh21 Department of Physics, Concordia University, Montreal, Quebec H4B 1R6, Canada Phone-1-514-848-2424x32842 Department of General Education, Mount Royal University, Calgary, Alberta T3E 6K6, Canadaintroduction The physics lab has long been a distinctive part
. 1 0These states are orthonormal. The same thing would happen with the horizontal or verticalpolarization states H H V V 1 and H V V H 0 .The general quantum state of a spin ½ particle (or photon) is a linear superposition such as a b a 1 b 0 where a and b are complex amplitudes that obey the Born12 rule, a b a*a b*b 1 . They are a superposition of states – something with no classical analog. 2 2An N-qubit register is N of these 2-state systems. A 3-qubit register has 23 basis states. For an N-qubit register with 2 N basis states a quantum operator (quantum logic gate) is represented by a2 N 2 N unitary matrix.For a 2-state system that corresponds to 2N basis states; we
isrelated to attitudes [1]. However, attitude studies are rather general and do not emphasize therelevance of students’ careers. In studies with pre-university students, the results show that thereis a significant difference by gender between the perceptions of the relevance of sciences, infavor of the male student, and that this difference increases with age [2].Porche, Grossman, Noonan and Wong [3] analyzed factors that influence young females topursue a STEM career. Among their results, science and math self-efficacy were factors toconsider. Eccles, Wigfiedl, Harold and Blumenfeld [4] analyzed the age and gender differencesthat elementary students have in self-efficacy.The attitude that students have of themselves on science and mathematics is
frequency bands (MF, LF and VLF) 1 where wavepropagation is mostly the result of diffraction around the earth’s surface and/or the surface wavebeing guided by a conductive earth in the same way of what would occur on a transmission line.This is referred to as ground wave or is sometimes called the “Norton surface wave.” [1,2] and isillustrated in Figure 1. Because of the earth’s limited conductivity, it takes a relatively large amountof power to overcome ground losses (in addition to spherical dispersion losses) and these groundlosses increase as the frequency is increased. Hence, this is why practical ground wavecommunication is limited to the MF and below bands (i.e. below 3 MHz). Another means of radiopropagation is tropospheric bending where
increasingnonlinearity. The initial conditions are ϕ0 = 0 and ϕɺ0 = 0 in all plots, and a second plot isdepicted in each subplot with a modified initial amplitude φ0 ( ϕ0 = 10o for Figure 9 (a) and (b)and ϕ0 = 1o for Figure 9 (c), (d) and (e). In general, it can happen that small differences in theinitial conditions produce very great ones in the final phenomena. A small error in the formerwill produce an enormous error in the latter, so that the prediction of a real system’s behaviorbecomes impossible.Due to the fact that the phase portraits ϕɺ over ϕ represent the projection of the extendedphase space (with coordinates ϕ , ϕɺ , and t ), intersecting trajectories appear in subfigures (c) to(e).(a) µ ωn2 = 0 , ∆ϕ0 = 10o(b) µ ωn2 = 0.5 , ∆ϕ0 = 10o(c) µ ωn2 = 1
. These skillsare particularly important within technical disciplines such as physics and engineering. Equallyimportant is the fact that these disciplines are often grounded in team and community-basedprojects and activities.Building CommunityTwenge describes the iGen generation as those who were born in 1995 and later [37]. She notesthat these iGen’ers “…have grown up with cell phones, often had an Instagram page before theystarted high school, and do not remember a time before the Internet” [p.2]. These iGen’ers arealso the main clientele in today’s classrooms. Twenge reminds us that the Internet has enormouspotential for information gathering and activism. But she questions whether this information-gathering through easy access to news and
capacitance.A more sophisticated model of the circuit in Figure 2 would also include a resistor in series withthe inductor. However, this model is adequate to explain and observe parallel LC resonance.The Tenma LCR meter was used to measure the inductance of the coil with the result beingLcoil = 59 µ H . Identical results were obtained at both 100 kHz and 300 kHz settings of theTenma. To determine the resonant frequency of the LC circuit, we connected the waveform generator to the coil via a series 5 pf blocking capacitor and then varied the generator’s frequency to get a peak response on the scope. The 5 pf capacitor 1 was necessary to isolate the generator from the LC circuit and thereby minimize the generator’s effect on the LC circuit’s
be included in a physics class. The quotes in Table 1 illustrate that they areconsidering that question, even when not prompted explicitly. Feedback on in-class activity around representation in STEM 90% 80% 70% 60% 50% 40% 30% 20% 10% 0% Semester 1 (N=52) Semester 2 (N=37) Semester 3 (N=22) Negative Neutral PositiveFigure 2. Students’ general reactions to the in-class activity on representation in STEM,provided via the online optional weekly feedback survey. N indicates the number of studentseach semester who provided a response. Total
material response under electric field and permeability is the material responseunder magnetic field. Under the influence of external electric field, there occurs a polarization ofelectric charges in atomic level which give rise to permittivity. Under the influence of externalmagnetic field, there occurs a polarization of magnetic dipoles moments (in magnetic material)in atomic level which give rise to permeability. When tiny particles of particular shape, made ofmetal or dielectric material, are arranged in a regular fashion, is called artificial material. Infigure 1, an artificial material, composed of metallic wires or circular metal patches or metalspheres, is shown.Figure 1. Artificial material composed of (a) 1-D metal wires, (b) 2-D
presents four graphs, one for each of the indicators of conceptual understanding versusthe quantitative test. Note that all the instruments were normalized to 100. Each dot correspondsto a specific student with the conceptual grade on the horizontal axis and the quantitative gradeon the vertical axis.All of the graphs in Figure 1 have the same general feature: most students show a greaterconceptual understanding than problem-solving ability. Moreover, Figure 1 shows similar resultsto those obtained by the students in the year prior who did not do the RCSA [4]. Fig. 1. RC circuit test-quantitative part vs four conceptual understanding measures. a) Second midterm excepting the RC circuitproblem. b) The RC circuit problem in the second midterm. c) 12
concepts and principles in a fun and exciting way. Once a modelrocket leaves the launcher, it is a free body in air. Model rockets have been used as student projectsfor decades. Many publications [1, 2, 4, 7, 13, 15, 18, 20, 21, 23, 24, and 25] report engineeringprojects in the same general area. Mathematical and physical aspects of model rocketry arereported in references 3, 6, 14, 16, 19, and 31. This paper describes a successfull implementationof PBL in an introduction class using the conversion of chemical energy into propulsion as itsfocus instead of the flight based focus found in earlier publications. Hence, this paper is the firstits kind in model rocket literature. The practical experience described in this paper is
class, fall 2016 and2017. The same questionnaire was given in 2017 as well, since the expectation was to see thedata consistency from year to year. During both years, the statistical sample size (class size) wasnearly equal due to the consistent (but small) classroom size at our host institution.This perception survey has four sections. Section 1 was designed to measure the learningoutcomes of the student with a rating of nine statements from 1 (low) to 5 (High). In section 2,ten questions were generated in five points scale to understand about the current teachingmethodology from students’ point of view. Namely, whether students agree with the model ordisagree with that approach. Section 3 was designed with ten “YES” or “NO” type questions
sample size.IntroductionFrom ABET criteria to the DBER report from the National Academy of Sciences, ourcommunity acknowledges the importance of skills beyond content knowledge, yet very littleresearch has been done to define and assess these skills [1] [2]. The goal of our cross-disciplinarycollaboration is to identify important problem-solving skills across science, engineering, andmedicine and to create assessments that measure these skills within the context of a given field.This paper discusses a particular assessment developed for optical engineering, called opticsblack box, which is designed to test a number of problem-solving decisions. Students worked onthis assessment during think-aloud interviews, which allowed us to hear their
methods. InFigure 1, propellant provides impulse that generates thrust to propel the rocket. Figure 1. Components of a Solid Model Rocket Engine [19]Initially, engines of different sizes are fired as shown in Figures 2 and 3 to demonstrate thrustingand ejection concepts. Figure 2. Static Engine Thrusting DemonstrationStudents really enjoy the static engine firing demonstrations as a prelude to the main project. Figure 3. Static Engine Parachute Ejection DemonstrationFigure 4 shows engines with pre and post firing masses. The difference is the sum of the massesof the four chemicals shown in Figure 1. Figure 4. Used D12-5 and E16-6 EnginesCurricular ContextENGN 110
engineering students.The class covers introductory topics in quantum mechanics leading to a basic understanding ofthe behavior of charge carriers in solids. A description of the course and the students will bepresented later in the paper. Students are introduced to entanglement and quantum computationwith computer simulations of quantum measurements. We believe that a brief introduction tothese topics helps students understand the relationship between operators and the results of ameasurement of the wavefunction.Over the past several years we have assessed students in the course with the Quantum MechanicsConceptual Survey (QMCS).[1] This instrument was designed to be used as a general survey ofstudents’ conceptual understanding. One of the
) development of teamwork skills, 2) increased appreciation for current andfuture coursework in physics and dynamics, 3) an early understanding of the role of experimentaland analytical approaches to engineering problem solving, 4) development of writtencommunication skills through writing technical team reports, 5) development of MS Excelprogramming skills directly applicable to a real-life like project and 6) increased appreciation forengineering by experiencing a real life like hands-on engineering project from start to finish. Theseoutcomes are closely related to ABET-EAC Criterion 3, 1-7 student learning outcomes,specifically outcome 1 - an ability to identify, formulate, and solve complex engineering problemsby applying principles of engineering
Paper ID #32344An International Study of Foucault’s PendulumMr. Ezequiel Gerardo Celario Sedano, York College of Pennsylvania Ezequiel G Celario Sedano is an Electrical Engineering Senior at York College of PennsylvaniaDr. Inci Ruzybayev, York College of Pennsylvania Inci Ruzybayev is Assistant Professor in Engineering Physics at the York College of Pennsylvania. She received her Ph. D. in Physics from University of Delaware and her M. S. and B. S. in Physics Education from M.E.T.U. in Turkey. Her technical research interests are in structural and characterization of TiO2 thin films and magnetic nanoparticles along with
, we construct the final prototype. In this case,we wrapped the 28 gauge copper wire a 1000 times. First, we tested the system by moving theelevator at the same speed as we did earlier and were able to optimize the electric potential at 0.6- 2 V. At 0.2 second flight time, we were able to light the LED momentarily as shown in Figure3b (red LED).Figgure 3a: The Prototype Figure 3b: LED lighted up and LCD display the voltageNext, we moved the elevator at different speeds namely: slow configuration (Figure 4a - flighttime is 2 seconds), medium configuration (Figure 4b - flight time is 1 second), fast configuration(Figure 4c - flight time is 0.5 second). In each configuration, electric voltage was generated bythe elevator. As
Best Campus award for the Zone 1 from ASEE dur- ing 2012. He is also coordinator for Graduate Studies in VLSI and Semiconductors certificate program. Professor Prasad already offered Online 16.517 MMIC Design and Fabrication during Spring 2009 and also developing MEMS Design and Fabrication to be offered Online starting from Spring 2013. He is the author of over 150 theses, dissertations and papers published and presented in journals/conferences of national and international repute. In 2013 Professor Prasad was awarded Fellow from the ASEE. c American Society for Engineering Education, 2019 Integration of Physics Fundamentals to Prepare Students for the Hi-Tech World through Design
the groups taking these courses are relatively homogeneous ina way that a large classroom generally is not. Our students are generally from the midwest regionand have a relatively uniform socioeconomic and educational background. We have attempted touse this homogeneity to tease out some confounding issues with the hope that other researcherswill be able explore these observations.ResultsThe following tables provide data from each of the classes taught using the different methods.Data from the flipped classroom model is shown in Table 1, from the problem-based lectures in 2,and from the interactive lectures in 3.The clearest trend in the data indicates that that the interactive lecture is the least effective methodof instruction. It is more
x1 0 x1 y1 y1 This tensor product of the basis states makes the representation of Alice’s and Bob’s qubits takethe form: 0 Alice ⊗ 0 Bob = 00 , 0 Alice ⊗ 1 Bob = 01 , 1 Alice ⊗ 0 Bob = 10 , and 1 Alice ⊗ 1 Bob = 11 . We suppress the subscripts and remember that the first qubit in the ketrepresents Alice and the second Bob. Of course it does not matter where they are located.Students need to generate operators, i.e. matrices, to operate on the column vectors. The twooperators that are necessary are the
Paper ID #22391Problem Design in HomeworkProf. Yumin Zhang, Southeast Missouri State University Yumin Zhang is an associate professor in the Department of Physics and Engineering Physics, Southeast Missouri State University. His academic career started in China; in 1989 he obtained master’s degree on Physics from Zhejiang University and then was employed as technical staff in the Institute of Semi- conductors, Chinese Academy of Sciences. After receiving PhD degree on Electrical Engineering from University of Minnesota in 2000, he started to work as a faculty member in University of Wisconsin- Platteville and then in
program’s SLOs to the coursesrequired for a degree, specifying in which courses the skills required of each learning outcomeare first introduced, where the skills are reinforced, and where they should be mastered. See [3]for more information about this type of curriculum map. As an example, Table 1 is an excerptfrom our Physics program curriculum map that illustrates in which courses three of our learningoutcomes are introduced, reinforced, and mastered. For each SLO, performance indicators(measurable actions or knowledge) are assigned that are commensurate with each level. Course Learning Outcome 1 Learning Outcome 2 Learning Outcome 3 General Physics I Introduced Introduced General Physics II
program iscustomized to the specific data to be processed. The optimization of this process relies onhumans to update the program. On the other hand, machine learning has a different scheme,which is shown in Fig. 1(b). First, humans need to design the configuration of the neural networkand set up a number of parameters. Second, in a supervised training process, the system is fedwith both the input data and correct output, and the system will be optimized by comparing thecalculated output with the provided correct ones. With enough training processes, the system canprocess new data with high confidence [1].The first generation of a neural network is called a perceptron [2], which is shown in Fig. 2. Aperceptron has three layers of artificial
power spectrum X i ,n , are of importance in thisapplication. In Figure 10 the power spectrum of the deflection history depicted in Figure 7 isshown. Figure 10: Power spectrum of the deflection history of the first massFigure 10 shows two distinct peaks at the frequencies ν1 = 0.62 Hz and ν2 = 1.07 Hz, whichrepresent the natural frequencies of the system. The parameters chosen for the generation ofFigures 6 to 10 were m1 = m2 = m = 10 kg and k1 = k2 = k3 = k = 150 N/m, which leads,according to Equation (9), to the two eigenvalues k 3k 1 and 2 . (20
sampling receiver.IntroductionIn modern signal processing systems, the input analog signal is usually digitized first and thenfed into a digital signal processor. The digitizing process can be divided into two steps: samplingand quantizing. The sampling process can be described mathematically as a multiplication with acomb function, which is a periodic pulse train with very narrow pulse width. In the frequencydomain, the multiplication becomes a convolution. The comb function is very interesting inFourier transform, since the result is still a comb function. Therefore, the effect of theconvolution is generating many copies of the transformed input signal with the spacing of thesampling frequency, which is shown in Fig. 1 [1]. If the sampling rate