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
of IT or the technical side. All students taking thecourse are required to have a basic introduction to Java. The course is completely online, andstudent-teacher interaction comes primarily from Q&A discussion boards (Piazza) and one liveQ&A session per week (WebEx). The course revolves around a semester-long project in whichstudents develop a mini e-commerce web application complete with the design andimplementation of the web interface, the database, and the application business logic.In this paper, we talk about how the course evolved when the developer joined the educator toteach the course. We focus on six important facets of the experience: (1) the initial conditionsthat allowed the collaboration to be successful, (2) the
-based demonstrations previously mentioned. This new board interconnects aTexas Instrument (TI) C6711 or C6713 DSP starter kit (DSK) to an Analog Devices (AD)quadrature modulator (AD9857). This modulator is capable of operating at up to 200 millionsamples per second (MS/s), with a resulting carrier or intermediate frequency of up to 80 MHz(i.e., 40% of the system’s sample frequency). An onboard 32-bit direct digital synthesizer (DDS)is used to generate the carrier waveform values. Baseband 14-bit in-phase and quadrature (I/Q)data are presented to the modulator, which can be programmed to interpolate the data at rates of4x to 252x. The AD9857 is interfaced to the DSK using an Altera Cyclone FPGA. The FPGAprovides queuing of the I/Q data, and the
.......................................................... Model 1 (b) Residuals-fitted, model 1(a) Residuals-fitted, model 0 (c) Q-Q plot, model 1 Figure 2. Residual Plot of model 0 and model 1, Q-Q plot of model 1 Model 2: Stepwise procedures To continue with the model refinement, stepwise procedures are highly preferred rather than all- subset selection due to the large number of subsets ( 2 P 1 8192 ). Three procedures were followed: Forward Selection, Backward Elimination, Forward Stepwise Regression and compare models by typical selection criteria. The result is listed below. Procedure Significance α
inner product are pre-sented next. To illustrate these concepts, we frequently make use of both the vector space of con-tinuous polynomials over [ , ] with the inner product: 〈 S ( [ ), T ( [ ) 〉 = ∫ S ( [ )T ( [ ) G[ (2.1) and the space of finite-length discrete-time sequences of complex numbers with the inner product: 1– 〈 S [ Q ], T [ Q ]〉 = ∑ S
, T(r | p) T(p | p) for all r p andT(r* | p) T(p | p) when r* = p. [1-4] Many strictly proper scoring rules have been developed.Three of the most popular are given below.Quadratic (Q): Qi (r ) 2 ri r r [1,1] (2)Spherical (S): Si (r) ri / (r r)1/2 [0,1] (3)Logarithmic (L): L i (r ) ln( ri ) ( ,0] (4)The range of possible scores differs considerably. For example, logarithmic scoring holds thepossibility of an infinitely negative score. While this may seem like a defect, we will argue thatthis feature is a benefit of log scoring. Any linear
MATH 2280 or 2250 or MATH 2250) & MECH 3200 & 3300 MECH 3650 & 3250 MATH 1210 MECH 1000 MECH 4000Admission MECH 1200 MECH 2210 MECH 2250 & 2030 MECH 2160 MECH 1100 & 1150 q Apply to DSU MECH 1000 MECH 1200 MECH 2210 MECH 2250 MECH 3200 MECH 3250 MECH 4000 MECH 4010 q Declare
will discuss in detail.1. Pedagogy Components: a. Cloud Computing i. Theory & Concepts ii. Lab Modules iii. Assessment iv. Q/A Sessions2. Platform Support: a. Primary: GCP (Google Gloud Platform) b. Secondary: AWS, Azure3. Degree Support Courses: a. Electives: AI/ML b. Required: Capstone Project4. Job Support Certifications: a. Primary: Cloud+ and GCP/AWS/Azure b. Secondary: Linux+We designed the CTaaS framework as a seamlessly integrated system where componentscomplement each other without requiring any extra effort beyond what is required by thecybersecurity degree. In the following, we go over CTaaS’s details. Cloud
permit more insight into the eventual testresults. For example, on the Yield Surfaces screen, the MCC yield surface, corresponding to theuser-provided values of Μ, e, and p′0, was plotted in a two-dimensional q-p′ space, and wouldchange size/shape instantaneously as the user edited the input. The user was not required toaccess these investigation screens in order to perform a test simulation. It was believed thatstudents would be naturally curious to learn more about the impact of their data input on theoverall test results, and would be independently motivated to access the investigation screens.By clicking the Help buttons, the user could view the underlying equations for eachinvestigation screen. The program structure including investigation
Confirmation CE1: Failure to clarify body in equilibrium Q-1,3,17,18,19 Moderate CE2: Failure to treat parts as single system Q-1,3,4,5,14,15, 17,18,19 Weak CE3: Leaving force off FBD Q-1,3,14,15,17,18,19 No Evidence CE4: Including internal force in FBD Q-1,3 Strong CE5: Including non-acting force in FBD Q-1,3 Strong CE6: Failure to account for force pair between separated bodies Q-4,5,7,8 Moderate CE7: Couple between bodies Q-7,8,27 No
transportation engineering with lecture and laboratorycomponents at the Pennsylvania State University. Specifically, the study seeks to determine howthe transition to remote instruction impacted student perceptions of the learning environment asit relates to the development of their professional expertise. Students’ perception on the learningenvironment was measured using the Supportive Learning Environment for ExpertiseDevelopment Questionnaire (SLEED-Q) [1]. The SLEED-Q was administered to students in Fall2018 and Fall 2019 (normal instruction) and compared with responses obtained from Fall 2020(remote instruction). Prior data (2018, 2019) was collected for baseline comparison as part of alarger curricular revision project to examine the impact of
changes in the parabola shape while thehorizontal distance versus time is always linear in shape. The causation of higher v0 for longerflight time can be deduced inductively after doing a few graphs. A deductive calculuspresentation of differentiating v0 with respect to flight time would belong to the academiclearning approach2, which is teaching time efficient for those students very familiar withcalculus. Every student is expected to be familiar with the quadratic equation solution in algebrathat time = P + Q*sqrt(-1) or P – Q*sqrt(-1) when b*b is less than 4*a*c given the a*x*x+ b*x +c = 0 format. The minimum initial velocity to reach ground from a depth of -120 m can bedemonstrated by extrapolation (about 48 m/s) on a graph of Q*Q versus
n e i g h t ✓ q u e s t i
: refrigerant R-134a Compressor inlet temperature: Tin = -12°C (saturated vapor) Compressor outlet temperature: Tout = 50°C Compressor outlet pressure: Pout = 600 kPa Mass flow rate of substance: m& = 2.5 kg/s Compressor input power: W& = 130 kW Proceedings of the 2003 ASEE Gulf-Southwest Annual Conference The University of Texas at Arlington Copyright © 2003, American Society for Engineering EducationFind: Heat lost during the process: Q& loss = Q& out = ?Solution
transmitter section Page 11.41.3digitizes an analog input signal into 8-bit parallel values. For BPSK modulation, these values Fig. 2. Data Recovery Circuit Boardare multiplexed into a single output stream. For QPSK modulation, the values are multiplexedinto parallel I and Q output streams of even and odd bits.The receiver section performs the reverse operation. A phase locked loop extracts a clock fromthe incoming digital bit stream(s). For BPSK, a single incoming bit stream is converted to8-bit parallel values. For QPSK, two bit streams are first recombined into a single stream andthen parallelized. The parallel
enthalpy profile basedon inlet boundary conditions (inlet flow and temperature), a nonuniform axial powershape, and a specified operating pressure. The first law is defined as follows1: dEcv V2 V2 Q cv W cv m i hi i gzi m e he e gz e (1) dt i 2 e 2 The pressure drop is based on the equation resulting from a mechanical energy balancefor an incompressible fluid2: pi Vi 2 pe Ve2 zi h ze hTurbine hL (2
robotwas used for about 25 years to teach undergraduate engineering students robotics concepts andapplications. Originally, the robot’s controller was connected via a 9-pin serial port to an Intel8088-based PC. The PC communicated with the robot via Q-Basic programming language runningunder the Disk Operating System (DOS). One group of students was exposed to two phases ofdevelopment, DosBox and MATLAB environments running in Windows 7 64-bit. Students’attitudes and perceptions surveys, students’ self-reflections statements, and individual studentinterviews, strongly indicated that the old robot with an upgraded computer environment is still acapable tool in developing industrial robotics programming skills.IntroductionIndustrial robots are an
𝑇𝑇133 Consider any arbitrary process involving external heat transfer to or from any CV as shown in figure 1.134 Multiple heat sources and/or sinks might exist and external work may/may not be done on/by the CV. If135 q′′ External is the instantaneous heat flux at any point on the surface of the CV, then the net external heat136 transfer is given by:137138 Q External = ∫ ∫ q′′ External dA dt = ∫ ∫ dQ External (6) t A t A139140 The external heat flux is integrated over the surface area of the CV, denoted by A. All of the external heat141 transfer must occur across the boundary of the CV. Therefore
maximum point total. The scores for each part are summed and represent the total score forthat question. Each question is a total of 5 points, resulting in a total of 15 points for all threequestions. For each of the PRE and POST instruction surveys, the following data is collected: • Individual question scores for each student – Parts A and B individually • Individual question scores for each student – Sum of parts A and B • Average student score for each question – Parts A and B individually • Average student score for each question – Sum of parts A and B • Total student score for all three questions – Q-1 + Q-2 + Q-3 • Average total student score for all three questions – Q-1 + Q-2 + Q-3 • Normalized Gain for each
record thepressures and temperatures along the refrigerant lines, before and after the evaporator, condenserand compressor, the flow rate of air entering and leaving the condenser and evaporator, and the power consumed by the compressor and the unit. The following are more specific learningoutcomes categorized as per the objectives listed in the “Introduction” section of this paper.1) Objective # I: Understanding thermodynamic and other relations that govern refrigeration cycles a. Reading pressures and temperatures b. Plotting the points on p-h diagram c. Estimating the cooling load by applying energy balance across the evaporator q m C , T T 𝜌 Q C , ∆T (1
))); % Angle of AoA to X axis Page 12.242.11% CALCULATE POSITION OF C AT ALL STEPSfor q=1:(steps+1) theta2=theta2min+(q-1)*(range)/steps; % Current theta2% CALL FUNCTION TO GET ESTIMATES OF THETAS 3 AND 4 thetabars=thetas(theta1,theta2,theta3,theta4,r1,r2,r3,r4); theta3=thetabars(1); % Set current theta3 to Newton-Raphsonestimate theta4=thetabars(2); % Set current theta4 to Newton-Raphsonestimate thth(q)=theta4; Xc(q)=r2*cos(theta2)+r5*cos(theta3+psic); % Put current Xc inmatrix Yc(q)=r2*sin(theta2)+r5*sin(theta3+psic); % Put current iYc inmatrix Xb(q)=r1*cos(theta1)+r4*cos(theta4); % Put current Xb inmatrix Yb(q)=r1*sin(theta1)+r4
port (X, Y : in std_logic; Z: out std_logic); end component or2; component not1 is port (X : in std_logic; Z: out std_logic); end component not1; signal P,Q,R : std_logic; begin G1: not1 port map (A,P); G2: and2 port map (P,B,Q); G3: and2 port map (A,C,R); G4: or2 port map (Q,R,Z); end architecture netlist; Fig. 3. Structural VHDL Style Example While presenting the students the VHDL structural style, the instructor compared theVHDL design to a circuit on a breadboard and signals were compared to the physical wires onthe
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
techniques available to design while providing an understanding of the basics of design (a, c, d, e, g, k, q)These CLOs are then linked with the nineteen ABET/ME outcomes as indicated by the letterswithin the parentheses. For example, the letter “a” in CLO #1 above indicates a “high” or “veryhigh” correlation between the Course Learning Objective and the ABET/ME Program Outcome.Refer to Appendix A for a text description of the Program Outcomes, a-s. Other programoutcomes are addressed in other courses in the curriculum.Results & DiscussionAs mentioned earlier, students (of both MECH 310 and MECH 312) are asked, on a voluntarybasis, to do an assessment survey for each homework they submitted. This is done in order toaccess to what degree the
; Exposition Copyright c 2003, American Society for Engineering Education Figure 2: The commDSK user interface. 1. The Gain Imbalance slider control varies the in-phase (I) and quadrature (Q) channel magnitudes ratio (I/Q) from 0.5 to 2.0. This effect turns square constellations into rectangular constellations. 2. The Quad skew slider control varies the degree of orthogonality between the I and Q oscillators by as much as ±30 degrees. 3. The In-band Interference slider controls vary the offset frequency of an interferer and the magnitude of the interference. 4. The AWGN slider control allows additive white Gaussian noise to be added to the signal to allow for variable signal-to-noise
tested this phase detector but itwas abandoned because it would produce erratic results in the presence of phase jitter when thephase shift of the network under test was close to an integer multiple of 360°. + z Q - R Network Under Test Voltage comparators y /Q C In Out Vφ
specific energy diagram.Mathcad Solution: Q Q 16.5 b 5.0 q q = 3.3 S o1 0.0004 S o2 0.025 b n 0.013 g 32.2a) Because the calculation must start at the control (at point B) and proceed in thedirection in which the control is being exercised; that is between points B and A, Page 5.586.6and between points B and C; first we must compute the critical depth of flow atpoint B. Because the slope between A and B appears to be mild, we expectsubcritical flow upstream of point B, and because the slope between B and Cappears to be steep, we expect
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) A( w ) 20. log( T( ω ) ) 2 2 a b( a ) Q 2. a Figure 1. Mathcad script for moving pole exampleAs a second example consider the script shown in Figure 2. Here the quantity tau represents avariable that depends on FRAME and which represents the half-width of a pulse in time f(t)which is centered at t=0. As tau increases the pulse widens. F(ω) represents the Fouriertransform of the pulse. In the animation, both f(t) and F(ω) are plotted for each value of tau. FRAME