Exp1 1 KBQ 18 19 0.6004 Ethics and Adaptive Exp1 1 Adapt. Expertise 15 15 0.825 Expertise5 Ultrasound Exp1 1 KBQ 22 21 -0.3666 Jumping Jack Exp1 1 Adapt. Expertise 10 11 0.7667 Matlab-based homework Exp1 1 KBQ 20 20 0.7608 Calorimetry Exp1 2 KBQ 30 47 0.4359 Bioreactor Q-Exp2 2 sections KBQ 11 11 0.65010 Microbial Kinetics Q
. VSA’s would be an ideal addition to any undergraduate communicationslaboratory because of their ability to investigate the many types of signals prevalent today.Unfortunately, most VSA’s are priced well beyond the budgets of typical undergraduate ECEdepartments. This paper describes a novel low-cost VSA that uses basic PC data acquisition(DAQ) cards to capture signals of interest and real-time processing of signals with LabVIEWand MATLAB. This VSA system provides a user interface that has much of the basicfunctionality of standard hardware VSAs, but with the limitation that bandwidth is constrainedby the sampling rate of the DAQ. The system provides real-time plots of I/Q constellations. Wedescribe the user interface as well as example
hedid not sustain the students’ interest with several hands-on design activities, such as building anairplane, a tower, a bridge, guest speakers, field trips, readings about the design process, andteam presentations, Mr. Q. was not able to pay enough attention to some aspects of the classwhich inhibited the success of the program. For example, the video presentations or activitieswere selected to reflect the interests of the students, as indicated by student questions ordiscussions. Gender and minority interests were not explicitly taken into consideration. Forexample, most videos focused on disasters resulting from engineering mishaps videos that mightshow the relevance of engineering to society. Furthermore, difficulties were encountered
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
was a search for a significant engineering concept related to solidification.The search started with defining and quantifying the process. If the process is done in a fluid (airor water), then convection is prominent and can be described in the equation below: q=Q/t=A*h*∆Twhere: q is the heat flow rate (amount of heat per time) Q is the amount of heat t is time A is the area of contact between the two objects (cast material and cast mold) h is the ‘film coefficient’ (related to the interface of cast and mold) and T is the Temperature (∆T is the change in temperature)Once the cast material (soap) and molds were chosen, the film coefficient and area is set. Theavailable heat is also set by the melt
: Page 12.327.5 d2x dx k1 3 Q - 2 dy 0 - y 0 2 x - x ? sin(y t ) dt 2 dt m m (4)where the spring force is kx - k1 x , m is the mass, d is the damping ratio of the system, y 0 3 m ) is the undamped linear natural frequency and Q and y are the amplitude and(given by kfrequency, respectively, of the external harmonic excitation. Setting k1 ? f k and introducing the
kunit length of trail laid by the kth ant on the edge (i, j ) between time t and t - n . The quantity m Fvk ?1 ij k measures the additional trail traffic, whereFv ij ? Q / Lk if kth ant travels the edge (i, j ) in its tour in time [t , t - n], else 0 (6) kwhere Q is a constant and Lk is the tour length of the kth ant so that the shorter the tour is, themore will be the chemical reinforcement. The quantity of trail v ij at time t ? 0 is set to a smallconstant c . A data structure, say, cv list, where cv stands for “city-visited” is maintained. This list is adynamically growing vector that consists of all the cities already visited by an ant up to time t(maintaining the order in which
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
12.642.9principles etc., (b) videos on different major engineering projects of modern times, (c) field tripsto engineering industries, (d) application oriented problem solving on basic and intermediatemathematics as well as Statics, Electrical Circuits etc. and (e) laboratory experiments.During the fall 2006 semester, for the first time, students were asked to fill out a surveyquestionnaire in order to get a feedback about this new format of the course. The class consistedof only 10 students. There were 12 questions in all, 6 were about the course itself and 6 were onthe lab experiments. Results from these questions were shown in the following table. Table 1. Responses from the survey questions from fall 2006 semester Q 1) Which was most enjoyable
))); % 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
b0 ? 1 for b 0 (9) b0 ? 0 for b>0 (10)Referring to the beam ab in Fig. 1, we may, for illustrative purposes, employ the rudiments ofsingularity functions and observe the defined sign conventions for beams to write the loadingfunction q, the shear force V, and the bending moment M for of this beam as follows:6-8 q ? Va > x @ /1 - M a > x @ /2 / P > x / xP @ /1 - K > x / xK @ /2 w1 / w0 > x / xw @ 0 / > x / xw @1 (11) L / xw
differential equations2: q = −∇ • (k∇T ) + ρ C P • ∇T (1) ρ • ∇ = ∇p + µ ∇ (2)where q, k, T, ρ, Cp, u, p, and µ represent heat flow, thermal conductivity, density, heat capacity,velocity vector, pressure, and viscosity, respectively. Unfortunately, an analytical solution to Page 12.393.3these equations is not available except for the simplest geometries and flow patterns. Therefore,a practical engineering approach based on Newton’s law of cooling is presented to undergraduateengineering students for describing the
. Using equation (1) the property B can then be replaced with energy in its variousguises and the accounting of energy through the control volume becomes :DU CV •U int ernal ? - Â Q% net _ in / Â W% net _ out - Â (m% e) net _ in …….(2) Dt •t By treating the surroundings (i.e. Everything else) as just another control volume onecan apply the same accounting exercise to the surroundings:DU SUR •U int ernal ? - Â Q% net _ in / Â W% net _ out - Â (m% e) net _ in …….(3) Dt •tFinally, by adding the two rates of change, equation (2) and (3), it was hypothesized byJoule and Clausius that, in the absence of Nuclear reactions, the sum should always equalzero. That is, the energy is conserved. i.e.DU SUR DU CV
experimental design, data collection, and data analysis; (q) acompetence in the use of computational tools; (r) a knowledge of chemistry; and (s)knowledge of calculus-based physics.Outcome can be assessed at the “program level” [2] using standardized testing such asfundamental of engineering exam, or it can be pursued at the “course level”. To ensure theteaching quality of the outcome based mechanical engineering program, systematicassessment of engineering curriculum is needed. More importantly, faculty needs to improveteaching techniques so that the student learning of each course can be measured againstprogram outcomes. In the past eight years, the current authors have developed a technique to
S, D Q, S, D S, Q, D5.2 Find items under bending5.3 Bending members with commoncross-sections5.4 Feel craft sticks bending5.5 Stress Opticon: Bending stressdistribution S, Q, D5.6 Quantify flexure in a craft stick5.7 Stress Opticon: simple support5.8 Photoelastic beam bending S, D S, Q, DStress Transformation7.1 Directional Strength (Craft Stick) S7.2 Directional Orientation inStructures7.3 Photoelasticity: Beam with holes S, Q, D7.4 Matching loads and failure planes7.5 Brittle and Ductile Failure
analytical and experimental studies that incorporate statistical, computer, and other appropriate techniques. (b), (e), (k), (m), (o)4. The ability to communicate effectively for presentation and persuasion using oral, written, and electronic media. (g), (p), (q)5. The ability to organize, lead, coordinate, and participate in industrial engineering and multi-disciplinary teams. (d), (l), (n)6. An appreciation of the humanities, social sciences, and contemporary issues for the general education of the individual and as resources for engineering studies and professional behavior. (h), (j)7. An appreciation of the ethical and professional responsibilities of Industrial Engineers and the benefits of a
filtration through the layer of particulates isdG P − Pi =k a (3) dτ PaThe harmonic fluctuation of the cylinder is described by the following expressions = A Sinωτ (4)andd 2s 2 = − Aω 2 Sinωτ (5)dτIntroducing the following variables ( Pa − Pi ) ⋅ F Pa G RTq= (6) α= (7) v = = (8) Pa m hF Pa Page 12.1489.5one has instead of equations (1), (2), and (3) d 2h d 2s + α q = − −g (9) dτ 2 dτ 2 (1 - q
inpreparation for accumulating the next sum. Each such stage forms the sum of M products. Div. M ROM Reg. addx Q AX DX D Q co SynClear so Reg. RAM ADM D Q Div. M−1 WR Load addy Q AX next
flow of electric current. The flow is due to a driving potential: in heattransfer the driving potential is a temperature difference between two locations, while in the caseof electric current the voltage difference is the driving potential. The thermal resistance isobtained by employing this analogy and manipulating the heat transfer governing equations andcasting them in the form of Ohm’s law.For a plane thin wall with its two surfaces at constant, yet different, temperatures (Fig. 1), thesteady-state one-dimensional conduction heat transfer is given by Fourier’s law: T1 / T2 Q% ? k A (1
quantitatively. In an attempt to do that, Question L (Q-L)(see Appendix A) was included in the survey in an attempt to determine the effectiveness ofusing visual aids as a teaching style. The results for of Q-L are summarized in Fig. 2. In both theMaterials and the Flexible and Rigid Pavements classes, almost all of the students selected theauthor’s teaching method, which included the use of PowerPoint presentations and video clips.During this time, the choice was strictly to select between visual aids and the conventional styleof teaching. In the comments sections from the Rigid and Flexible Pavements course, one studentsuggested a combination of visual aids and a conventional style teaching approach. Theinstructor valued the student’s recommendation
shockwave technologies”, Master thesis, The University of Oklahoma, 2003 9. AlRamahi, M and Gramoll, K, “Online collaborative drawing board for real-time student-instructor Page 12.1123.10 interaction and lecture creation”, ASEE 2004 Annual Conference Proceedings, p 10651-1065910. Sun, Q., Gramoll, K., and Mooney, M., “Self-Paced Instruction to Introduce Traffic Engineering in Virtual City (Sooner City)”, 1999 ASEE Annual Conference & Exposition, p 4403-441211. Sun, Q., Stubblefield, K., and Gramoll, K., “Internet-based simulation and virtual world for engineering education”, 2000 ASEE Annual
so an average soil temperature rise could be minimized. The studentperformed first-law analysis for the GSHP which was modeled as a closed system with a linesource of heat as shown in Figure 5. From the first law of thermodynamics, the energy balanceis as: E$ in / E$ out ? FE$ system ? FU$ system (1)For the GSHP shown in Figure 5, Equation 1 can be expressed as: FT Q$ in ? m © c p (2) Ft FTWhere, Q$ in , m, cp, and are the heat rate in, mass of soil, specific heat of soil, and Fttemperature rise per unit time, respectively. To
Engineering.Assessment of the Effectiveness of The Proficiency Exam ProtocolThe Proficiency Exam Protocol has been found to be an extremely effective tool inenhancing student learning. Results are presented based on a survey given to 70 studentstaking Structures I in Semester II, 2005. In this survey in which 59 students responded,students rated the following activities as to their effectiveness as a learning tool: • The Proficiency Exam Protocol (PEP), • Homework checked for completion but not graded (HC), • Homework that is graded (HG), • Quizzes (Q), • Quizzes where a remake quiz is allowed (QR), and • Pop Quizzes (PQ)The Student’s t test 1 was applied to the data from this survey. When comparing twolearning tools, this paper follows the
. Table 3. Items used by engineers in student drawings Number of Items Used by Engineers Example Participant Response Participants That's a little helmet to protect him. These are his Items for personal safety 6 goggles. (Student Q) I drew a woman who's an engineer and she's at a Models, blueprints, plans 4 meeting and she's talking about the blueprints of that building, tallest building. (Student L
. Welect. Bomb + - QB Fuse Wire Sample CMFor the process of igniting the fuse and the test sample, and the resulting rise in watertemperature, the 1st Law states that: E 2 − E 1 = Energy In − Energy outso that, ∆E = Welect. − Q B (1)Since
students’future success to evaluate the performance criteria fed into the model.To achieve these objectives, the data for all 107 applicants (n = 107) for the Masters of Science(M.S.) in Computer Science program in the School of Engineering for Fall 2004 semester iscollected. According to the office of admissions records, the acceptance rate of the ComputerScience graduate program for the Fall 2004 semester is approximately 34 percent, with 36 accepted,and 71 rejected students.Following data collection, a DEA model to evaluate the relative efficiency of each candidate isemployed with six performance criteria, viz., the Bachelors of Science (B.S.) GPA, TOEFL andGRE Quantitative (-Q) scores, number of years of work experience, number of
todeliver their baskets. They spend around Q. 20.00 (US$ 2.50, 1 Quetzal=$0.13), in lightningproducts like candles and charcoal, and another Q.22.00 (US$ 2.55), in batteries for theirportable radios per month. That is Q. 42.00 (US$ 5.00) per month, almost 30% of their totalmonthly income.3.2 Example 2: Independence through Mobility, An Affordable WheelchairMission: To provide alternative, inexpensive means of transportation for poor, disabled peoplein Guatemala and later, other developing countries.Market Research: Generally, it is estimated that over 20 million people in developing countriessuffer from disabilities that severely limit their mobility, independent of assistive mechanisms.In the case of Guatemala, the major causes of handicap include
numbers between decimal, floating–point, and fixed–point number formats including Q–formatted numbers and canonical signed digits. 2. Synthesize digital logic and fixed–point signal processing systems using VHDL. 3. Design filters that are robust to quantization effects. 4. Design hardware filters using distributed arithmetic. 5. Optimize hardware filters given realistic design constraints using a variety of filter design tech- niques. 6. Design the hardware to implement an adaptive filter. 7. Describe the relevant theory and implementation of an adaptive filter. 8. Describe the trade–offs (including precision, accuracy, dynamic range, implementation size, and signal–to–noise ratio) between fixed
their learning during the second half of the semester. Pre Mid-Term Post Mid-Term Lab1 Lab2 Lab3 Lab4 Lab5 Lab6 Trial 1 3 3.3 3.1 4 4.2 4.3 Trial 2 3.3 3.8 3.6 3.9 4 4.1 Q: How much did you learn from this Lab Assignment? (0-5, 0 being lowest) Table 2: Student feedback from Mid-Course and End-Course Survey Pre Mid-Term Post Mid-Term Lab1 Lab2 Lab3