engineering education journals and conference proceedings. He has worked to implement multiple National Science Foundation (NSF) grants focused on engineering education. He has been an instructor in more than ten week long summer K-12 teach Professional Development Institutes (PDI). He has received multiple teaching awards. He has developed design based curriculum for multiple K-12 teach PDIs and student summer camps.Mr. Phillip Q. Tran, Texas State University c American Society for Engineering Education, 2019 Active Learning in Electrical Engineering: Measuring the DifferenceAbstractEngineering Electromagnetics is a challenging junior-level course containing many concepts andformulae, and
Power Transfer at IEEE Aerospace Conference, an active technical program committee Chair and TPC member for several IEEE international conferences including IWCMC, Globecom, and ICC. He has also served in the executive chairing committee of many conferences such as IEEE PIMRC 2011 and IEEE SPAWC 2011. He is with the Editorial Board of IET Sensing Systems.Dr. Cheryl Q. Li, University of New Haven Cheryl Qing Li joined University of New Haven in the fall of 2011, where she is a Senior Lecturer of the Industrial, System & Multidisciplinary Engineering Department. Li earned her first Ph.D. in me- chanical engineering from National University of Singapore in 1997. She served as Assistant Professor and subsequently
science teacher in El Paso, Texas. She holds a BA in mathematics, a BS in physics , and a MA in Science Teaching (emphasis physics).Rebeca Q. Gonzalez, UTEP-Graduate Student and EPISD-Teacher A former Electrical engineering from ITCJ in Mexico currently teaching 9-12 pre-engineering courses and computer science and a master of arts in teaching science graduate student from University of Texas at El Paso.Prof. Alan Siegel, New York University Alan Siegel is a professor in the department of computer science and NYU. His research is in the mathe- matical foundations of computer algorithms, and in the pedagogical approaches used to teach introductory mathematical topics and algorithms in the US and abroad
the homework assignments, for each TGO, only the conceptnames are given and students are asked to elaborate them in their own words as part of thehomework. This would force them to learn the concepts and gain the ability to recite/paraphrasethem. We decided to omit the quotes and writing assignment about innovators. We do notperceive that they will enhance student learning. n Objective __: Understand how the time-to-live field in the IPv4 header is used n Important concepts/knowledge (please elaborate each) q Size of the TTL field (hence, max and min value of the TTL value) q How the TTL field is updated q What happens when TTL drops to 0 q Objective of
-oriented control, the model of induction motor can be represented on d-q rotating axis, in whichthe d-axis is aligned with the rotor flux at all time and the q-axis is always 90 ahead of the d-axis. Therefore, we take new variables similar to3, 4 as follows d cos sin a (6) q sin cos b id cos sin ia
is written as ( jω ) + j 2ζω oω + ω 02 = s 2 + 2ζωo s + ω02.14 Another form is written as 2 1 s s 1+ + Q ωo ωo I will use this form for the illustration of Middlebook’s low entropy approach to analyzingsecond order circuits. The familiar Q (quality factor) represents how frequency selective thecircuit is and ωo can represent a resonance frequency or a reference frequency for the secondorder frequency response. The familiar series RLC circuit configured as a low pass network, shown in Figure 6, canbe
10 1 0 10 11 00 1 1 n+1 Q YThe following is an incomplete VHDL code to describe the above table. Read the code carefullyand then fill in the blanks to complete the code:ENTITY fsm_test IS PORT (A, Clk : IN STD_LOGIC; -- A is input from outside world Y : OUT STD_LOGIC -- Y is output to outside world );END fsm_test;ARCHITECTURE Behavior OF fsm_test IS -- Note: In this question, we use binary states (not symbolic states): SIGNAL Current_Q, Next_Q
resistive lattice. For example, for an infinite 2D Honeycombresistive lattice (see Fig. 2) where M = 3, the effective resistance between any two adjacent nodesis simply Reff = 2R/3, where R is the value of each resistor on each branch of the lattice.Similarly, M = 6 for an infinite 3D cubic resistive lattice and, therefore, Reff = 2R/6 = R/3. Page 14.300.5 Ia = I (or Qa = Q) a + Va-b Infinite R, L, (or νa-b
radiation.Introducing those math tools is essential to provide visual aids and better understanding of theEM concepts, and enhance students’ programming skills to solve engineering EM problems. (a) Vector algebra and calculusBoth Matlab and Mathematica can do vector analysis. In addition, Mathematica can find the EMfields in analytic form (with additional toolbox, Matlab can solve problems analytically too).One thing worth of mentioning is that both Mathematica and Matlab functions are case-sensitive.To use Mathematica, start with the command < Sqrt[x^2 +y^2], theta -> angle[x, y]}, {x, x1, x2}, {y, y1, y2}, opts]; ( example : PlotPolarVectorField[{r, Sin[q]}, {r, q}, {x, -1, 1}, {y, -1, 1
(see the 555 datasheet for details). It is unlikelythat a tie will occur if the clock frequency is very high.A breadboard with the circuit was passed around during the lecture so that students could see thecircuit in operation (see Figure 2). Vcc CD4013BE 14 Vcc LED 0 6 Vcc S q0' 1 14 3 5 q 1 q0
the polarities of the Potential and under what condition work is done on the charges as against by the charges. Q. Potential difference from point C to F is 1.65 V. It takes 2.56 nJ to move 6x109 protons from A to C. How much work needs to be done to move 3x108 electrons from F to A?2) concept: Polarity of voltage sources In this example the conventional polarity notation scheme in voltage sources is clarified. In a circuit diagram, terminals of voltage sources denoted by + or – does not necessarily indicate that it is at positive or negative potential, rather the terminal denoted by + is at a higher potential than that denoted by – . Both terminals can be in reality at positive, negative or a combination
linear applications because they believe that the gainsthat can be realized by MOSFET amplifiers are too low to bother with. 3,4 However, if they arecarefully biased and utilized at frequencies below 100KHz, gains from a MOSFET amplifier canpractically approach 50 while offering much higher input impedances, as mentioned above. Thisis possible because the gain parameter of a MOSFET, its transconductance (yfs), is a function ofits bias point (Q point). In contrast, the current gain function of a BJT (hFE) is approximatelyconstant over most its range of bias points, relative to a MOSFET.Practical MOSFET Amplifier DesignProblem Definition and Design ConstraintsGiven a specific input voltage (Vi = 50mVp which is the approximate output amplitude of
the optical receiver. To evaluate the performance of the system, expensive equipment such as psudo-random binary sequence (PRBS) generator and bit-error-rate (BER) tester are required. When these equipment are not readily available, simulation software often provides an alternative way of studying the fiber optic communication systems. In this course, OptiPerformer was selected to study the performance of fiber optic communication systems 4. This category includes two activities: a. OptiPerformer #1: The objective of this activity is to study the bit-error-rate (BER)and Q-factor. The BER is a key performance parameter of the optical communication system.It is defined as the probability of a bit being incorrectly identified by
finite line of charge of length and linear charge density of tL(C/m2) along the z-axis. For a differential element of charge dQ = tLdz, one can computethe electric force exerted on the charge q located at a distance t (cylindrical coordinatest,h,z are used here) from the line using Coulomb’s law asdFy = q dQ cos c/(4rg0R2) (g0 = 8.854 x 10-12 F/m is the free space permittivity) Page 11.523.5where c is the angle from the y-axis and R2 = t2 + z2. With cos c = t/R and integratingto get total force (also utilizing the symmetry of the problem)Fy = 2 Ð q tL t d z /(4rg0R3) where integration is from z = 0 to z = /2.Fy = q tL t I /(2rg0) with
). SDR was extensively used during theIn addition to these new capabilities, the cost of SDR undergraduate digital communicationshardware continues to decrease and is becoming more course on which this paper is based.accessible to students, including the recent introductionof the ADALM-PLUTO SDR platform 8 by AnalogDevices, which employs the AD9363 9 and costs approximately $100USD (see Figure 1). Withthese latest advances, SDR hardware and software are accessible to the larger student populationand can be used not only for digital communications education but also employed in othereducational and design activities, especially those with interdisciplinary aspects such as r(t) q(t
, cross-sectionalarea, and conductivity, respectively. Therefore, this “Top-Down” approach would predict that asthe length is decreased to a 3-D nanoscopic resistor, as shown in Figure 1 on the right, itsresistance would approach zero ohms. However, it is now well known that the conductance fornano-scale ballistic conductors is quantized in multiples of q2/h ≈ 1/(25kΩ)1, where q is theelectron charge (1.6 × 10 C) and h is Planck’s Constant (6.63 × 10 J-sec). For thisreason, the resistance of the simplest 1-D nanoscopic device would approach h/q2 ≈ 25kΩ (notzero ohms). A=Wt A=Wt L L
components at the nodes. Implement quiver to visualize the electric field distribution due to a uniform straight line charge of finite length l and total charge Q placed along the x-axis in free space. Although the analytical solution is available in this case, given by cos cos sin sin for the situation shown in Fig. 1, the electric field vector at each node of the mesh should be computed by vector numerical integration of elementary fields due to equivalent point charges
its structure is shown in Figure 7 (a). Theprice on the central dispatch of the smart grid is dynamic, high in the day time and low in thenight time. There is two-way transmission between the main dispatch and a microgrid. aperformance metric Q for each microgrid is defined as: Q w1F w2 E w3 S Where, F is a cost index of electricity, E is an environmental effect index due toatmospheric emissions, and S is a load satisfaction. Q, F, E, and S are all between 0 and 1. wi(i=1, 2, 3) are weighting factors and wi 1 . The ultimate objective for each MG is tomaximize its overall performance index. Page 22.35.7
be created in a plain text format using AMC’s custommarkup formatting, or using the LATEX language. A ‘build’ is then created which lists/selects thequestions to use or describes how to randomly draw the questions. The AMC system then createsa unique form for each student. These are printed and handed out. Students bubble in answers to draft form test/exam compile test/exams questions structure for all students Q Print and Q T administer Q Q
and a project demo. All the project presentation videos were collected and posted before a Zoom meeting of Final Project Q&A session was held. During the synchronous Q&A session, each group was assigned a 10-minute slot to answer questions from the instructors, who had watched the project presentation videos before the Q&A session. The students were also encouraged to create a website for their project, which could be used to strengthen their personal profiles for later use.5) Design and distribute surveys at multiple points of the semester to understand students’ learning conditions, preferred teaching modes, feedback on the course modules, challenges, and learning outcomes to adjust the course content and
. dn ( x ) J n (diffusion) = qDn dx Dn = mn kT / q = q(cm / s)(1 / cm ) 2 4 a. Which type of current requires that the particles have charge in order to move? __ drift. __ diffusion. __ both. __ neither. b. Which type of current requires a concentration gradient of the particle distribution in order to move? __ drift. __ diffusion. __ both. __ neither. c. Why do we have a ‘q’ in the front of both equations? One sentence max. d. What is mobility, basically? One sentence max. Look at
towards the studentsagreeing or disagreeing with a particular learning strategy. On a scale of 0-4, zero being stronglydisagree, four being strongly agree and two being neutral, the response towards the question, “Ifeel that developing intuition for control is important” (Figure 3.1) the average score was 3.66.While the students displayed their belief in the importance of intuition, they also displayedoverwhelming support for the teaching styles implemented in the course that were designed tocater to visual learning. When asked the importance being able to visualize concepts as theylearn, the total average score was above 3.6. Q: I feel that developing intuition for control is important
Page 23.1274.12electronics practices. At the end of the course, a survey was conducted among all the enrolledstudents (64 students) in that subject. The survey encompassed questions in terms of learningoutcomes, sense of reality, and performance. The survey results are shown in Table 2. Table 2. Survey on VISIR Deployment at UNED (2010/2011). Score Average Question (out of 5) (%) Feasibility Q.1. It helped me to understand the subject contents? 3.76
) Tektronix Curve Tracer Agilent triple DC power supply The resulting coil inductor was measured in series with a 10 nF capacitor as in Figure 8 toobtain the resonant frequency of 1.52 MHz, which shows the inductance of the coil to be 1.096µH.3.3 The Audio Amplifier Construction and MeasurementThe audio amplifier circuit is shown in Figure 9. Please note that this amplifier uses the simplestpossible biasing circuit for simplicity, though a 3-resistor bias network would give better Q-pointstability with respect to beta variation. The beta value of the transistor is measured using a curvetracer to be 160. The DC bias Q point is then calculated as follows: Rgen Lunknown
binary data and the energy per bit are equal(P0 = P1 = 0.5 and Eb0 = Eb1 = Eb), is presented in the course lecture5. Page 11.1206.5 2 Eb Pb = Q N o The function Q is the complementary error function and No is the power spectral densityof the AWGN. The optimal threshold (Token 3) for the correlation receiver is set as τopt =0. SystemVue can calculate the statistics of the PCM binary data for the audio .wav file Figure 4. Autocorrelation of the BPSK
Multidisciplinary Project:RF CMOS Voltage Controlled Oscillator (VCO) that is capable of generating an outputfrequency near 5GHz for monitoring neural and cardiac activities. The circuit topologyhas been chosen to achieve such high frequency with high Q-factor. The team project Page 15.974.6works on the transmitter circuit and its layout with L-Edit software is given. Thisincludes the prescribed inductances and capacitances required to achieve the designspecifications. Figures 4 and 5 show the schematics of an rf amplifier that was simulatedwith PSpice, and the result is given in figure 6. The results provide the 5 GHz VCO thatmeets the design specifications. The
Page 25.89.5To LED S1 To LED S0 Input from dip switch 2 5 D Q 1 A0 Y0 15 2 Y1 14 74HC74A A1 13 D flip flop 3 Y2 A2 12 Y3 11 74HC238 Y4 OR Gate Decoder Y5 10 1 74HC32 3 9
opportunity to further enhance student learning and engagement inthe area of system engineering, electronics and high frequency design and constructiontechniques. Some schools have used high frequency design classes from a theoreticalperspective but with a lower frequency project component to illustrate the timeless concepts.Other schools2-4 are using the latest PC-soundcard based software defined radio (SDR) kits andideas to illustrate receiver concepts as well as I/Q modulation schemes; PC software fromexternal sources are used to process the I/Q signals from the hardware SDR and so there is a fearthat some important concepts may be lost through the use of the ‘black box’ software. However,the hardware component is still invaluable for students to
, polarization 5Half-wave dipole, simple reactive impedance matching, folded dipole 3Dipole equivalent circuit, bandwidth and Q, baluns 3Image theory and monopole antennas, ground effects 1Two-antenna arrays, linear antenna arrays 2Friis equation, practical system link analysis 2Intro to computational electromagnetics, method of moments concept, simulation project 1Examinations/review sessions 2 Table 3. Comparison of
-theory mathematics describing this process is beyond the scope of the applied wirelesscommunications course. However, it is a relatively straightforward process to simply apply analgorithm that iteratively tunes the gain until a satisfactory result is achieved [4]. LNA BPF LPF Ichannel: Q 90o I LPF Qchannel: Fig. 5. Block diagram of quadrature receiver producing the I and Q channels. Even though I and Q are real signals that are in quadrature, we can think