of the manipulator from measurements of the inputs and outputs (jointpositions, velocities, and accelerations) and calibrates adaptively the model in the controller.II. Problem StatementThe matrix-vector formulation of the closed-form dynamic model for a robot with N joint axes1 Page 14.161.2is: D(q, λ) q&& + h ( q, q& , λ) = F(t) (1)In (1), q(t), q& (t), and q&& (t) are the joint position, velocity and acceleration vectors; λ is thevector of dynamics parameters; D(q, λ) is the inertial matrix; h ( q, q& , λ) is the coupling vectorthat incorporates the
combination with a digital down converter (DDC) based data recorder to capture and record real world radio signals. The resulting in-phase (I) and quadrature (Q) data files are then imported into M ATLAB for processing. This batch processing of real world radio signals allows for a tremendous amount of classroom flexibility in the discussion of software defined radio topics.1 IntroductionThere is a great deal of interest in the DSP algorithms necessary to demodulate communicationssignals. While a number of existing courses cover these topics, the use of real world communi-cations signals to develop and test these algorithms can be problematic. For many universities,the largest challenge in working with real world signals is the
S1 =Entropy out. Ta = Ambient Temperature Figure 1. Simple pipe model for second law consideration. Application of the energy accounting equation as described by Foley [3], gives : Q& 1 / W& − ( m& e ) in / ( m& e ) out − E& gen ? E& CV . (1) Which for a steady flow, no work situation simplifies to : Q&1 ? m& .C p (T1 / T2 ) . (2) This is usually as far as we need to go in most practical problems, and hence any issues of entropy do not arise. However there is much to be learned by considering the entropy
the product of the twosets. The set union, intersection and difference operations are all available in Python thusenabling one to verify Demorgan’s law for sets.Logic:In logic students typically are requires to generate truth tables for a variety of Booleanexpressions. Python directly supports conjunction and disjunction in terms of the build inprimitives and and or, the negation is done using not. A nested loop can be constructed togenerate the truth table for standard logic operators such as the and for p in (True, False): for q in (True, False): print "%10s %10s %10s" % ( p, q, p and q)Once again the code is highly intuitive and requires minimal coding ability. The print
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
tolengthen the mask and a carriage return before and after to increase the height of the mask.Example 1 also used “explicit,ALL” for several calculations. In this case, the definingequation was used as a mask for the “explicit,ALL” words. Several problems can be seen inthe hf calculation. The numerical value for V was not substituted into the equation. Instead,the previous equation defining V in terms of Q and d was inserted and the numerical valuesfor Q and d displayed. In addition, the Darcy friction value previously calculated is notrounded in the “explicit,ALL” equation. Attempts to resolve these problems were notsuccessful.Solving Equations Analytically. Equations can be solved symbolically (analytically) using[cntl .]. (The two keystrokes in
. Page 14.65.10 gal ( Flowrate : Start the flow after 100 min ) Q( t) 2∧ if t ≅ 100min min 0 otherwise Qgen1( T) 6600∧ W if T > KfromF( 130) ∧ K ( Heater ON if the temp. is below 130F ) 0 otherwise Qgen2( T) 4400∧ W if T > KfromF( 130) ∧ K 0 otherwiseUsing an energy balance to solve for the time rate of change (Slopes) of the temperatures : 1 s τ∧ C ∧ V1∧ τ∧ Cp∧ ∗ Tin / Ta+ ∧ Q( t∧ 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
Tpolycarb (x) = 13320 C m x + 122 o C o LStudents will obtain a different temperature profile for each material they study and canthen use Fourier’s Law to determine the conduction heat transfer rate. dT kq''x = 1k = (Tw,s 1 Tp,s ) dx LBy providing the thermal conductivity, k, or the heat flux, q''x , it is possible to calculatethe other parameter. Alternatively, students could determine heat flux from the steadystate heat generation experiment outlined below. 0.21W mKq''x = (122 o C 1 88.8 o C) = 697 W 2 0.01m mOne Dimensional Conduction Through Composite Systems:Steady state heat conduction
and free combined)dof(fixdof)=1;free = find(dof==0);We reduce the structure force vector F and the structure stiffness matrix K to form the correspon-ding quantities Ffree and KFree , solve the set of linear equations for the vector q free of structure dis-placements and finally add the prescribed zero displacements to the solution vector using thefollowing statements.%initialize displacement vectorq = zeros(dim,1);%reduce stiffness matrix (eliminate rows and columns representing fixed dofs)Kfree = K(free,free);%reduce force vectorFfree = F(free);%solve equationsqfree = Kfree \ Ffree;%include fixed degrees of freedom in displacement vectorq(free) = qfree
frontend that contains a “down-converter,” which converts the RFsignals at the received frequency into two parts: the I signal (in-phase) and Q (quadrature) signal,which is 90 degrees out of phase (relative to I). To perform down-conversion, we use a Tayloedetector 6 . The detector is a simple, inexpensive circuit that does a complete quadrature down-conversion. The I and Q signals feed directly into the soundcard of the PC, where they areconverted from analog to digital signals using the soundcard’s A/D converter.Once converted by the soundcard, I and Q signals are demodulated. This process consists of thefollowing basic steps for receiving7-10. 1. Time-domain shift: while I and Q are in the time domain, their (center) frequencies are
? ? Cv.TE − p E .v E ? u E − p E .v E (10) mReturning now to our control volume A,DU A ? ∑ Q A / ∑ W A − m I .(u I − p I .v I ) / m E .(u E − p E .v E ) (11)Again it is interesting to note that the convected terms comprise properties that arecompletely defined outside of the control volume A which we are ultimately analyzing.At this point convention is that there is ‘convenience’ to be had by grouping the terms in thebrackets into one term. i.e. the property enthalpy (h) is justified.Hence,DU A ? ∑ Q A / ∑ W A − m I .(hI ) / m E .(hE ) (12) This convenience however comes at a price. First, internal energy is a property that wasclosely related to pressure and temperature and fundamental in our
highlyexpressive and widely used in formal verification tools such as the model checkers SPIN [8] andNuSMV [2] . LTL is also used in the runtime verification of Java programs [18]. Formulas in LTL are constructed from elementary propositions and the usual Boolean operatorsfor not, and, or, imply (¬, ∧, ∨, →, respectively). In addition, LTL provides the temporal operatorsnext (X), eventually ( ), always (✷), until, (U), weak until (W), and release (R). These formulasassume discrete time, i.e., states s = 0, 1, 2, . . . The meanings of the temporal operators arestraightforward1 • The formula Xp holds at state s if p holds at the next state s + 1, • p U q is true at state s, if there is a state s ≥ s at which q is true and, if s is such a state, then
Entropy Figure 9. Simple Rankine Cycle T-s DiagramCycle Analysis:The thermodynamics efficiency is defined as: . . W turbine ,out / W pump ,int ϕ th ,Rankine ? . Q inwhere, . . . W turbine ,out ? m(h3 / h4
the localleaders to determine the needs of the Q. #1 72%people and to obtain technicalinformation required for the project(such as stream locations, water flow Q. #2 81%rates, etc.).Upon arrival, all of the projects were Q. #3 79%implemented; however, many of theprojects had to be adjusted based on the 0% 20% 40% 60% 80% 100%local materials available. Materials which students had been told would beavailable were actually difficult to find. This was probably due to miscommunication betweenthe NGO contact and the engineering students.Most of the interviews conducted showed that
) Page 14.103.11 m Fin parameter, ? hP kA c (1/m) M ? hPkA c θ b (W) P Fin perimeter (m) q Heat transfer rate (W) Rt,f Fin resistance, ? θ b q f (K/W) t Fin thickness (m) T Temperature (ºC, K) x Distance along fin, measured from base (m) Greek Θ Temperature difference between fin and ambient temperature, ? T - T♣ (ºC, K) ε Fin effectiveness, ? q f hA c θ b η Fin efficiency, ? q f q max Subscripts b Base of fin c Cross-section, or corrected length f Fin L Condition at fin tip max Maximum possible ∞ Condition
, not on the details of data acquisition. The laboratory exercise begins with warm-up problems on the rate form of the first law, andon possible choices of control volumes for the system. We found these warm-up problems to bevery helpful because qualitative reasoning is a new skill for students, and because (in ourapproach) the students have only recently been reintroduced to the first law of thermodynamics.See Appendix B, section 3.3. The first part of the blender exercise investigates the effect of varying the amount of waterin the blender. Qualitative analysis involves manipulating the rate form of the First Law ofthermodynamics dT ˙ ˙ mc = Q
undergraduate heat transfertextbooks is usually limited to fins of uniform cross-sectional area. For more complex finconfigurations, only efficiency charts are provided in most heat transfer textbooks1-15. Analysisfor fins of variable cross-sectional areas or annular fins results in more complex differentialequations. The solutions for temperature distribution involve complex functions such as Besselfunctions. The analyses for these types of fins are not typically fully covered in an introductoryheat transfer course. Instead the results are shown in the form of fin efficiency charts.The fin efficiency is defined as q act q act ϕf ? ? (1
languageknowledgebase powered by IntelliResponse that can be updated every time a user asks a new butimportant question. There are many benefits of this empowering program such as reduction ofemail volume, phone calls and chat sessions and reduced navigation linked with website Q&A orFAQ solutions. The quality of end user experience is measured objectively via system generatedreports. Potential exists for institutions to collaborate and build such knowledgebases moreefficiently and for development of self-learning tools.IntroductionAsk the library, ask the registrar, ask the IT help desk, ask the calculus professor, ask theXXXXXX, and receive an immediate, consistent and accurate online answer to your question24x7, 365 days per year. Imagine that each time
- Resistance, series form • Xs - Reactance, series form • Zmag - Impedance magnitude • Theta (deg) - Impedance angle Page 14.638.9 • Rho - Reflection coefficient magnitude • RL (dB) - Return Loss, plotted as a negative number to simulate "reverse scale" • % Reflected Power • Phase (deg) - Reflection coefficient angle • Q - Quality factor, |Xs| / Rs • Rp - Resistance, parallel form • Xp - Reactance, parallel form • Ls (µH) - Equivalent inductance for series Xs, both positive and negative • Cs (pF) - Equivalent capacitance for series Xs, both positive and negative • Lp (µH) - Equivalent
conditions, since the ordinary effects are many orders of magnitude larger than therelativistic effects. Studies of these open systems found that energy is conserved across thecontrol surface for open systems as well as closed systems. The equation for the rate of energychange for a control volume is2: dEcv & V2 V2 ? Qcv / W&cv − ∑ m& i hi − i − gzi /∑ m& e he − e − gze (1) dt i 2 e 2 dE cvwhere is the rate of energy change within the control volume, Q& cv is the rate of heat flow dt
) 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
freshman engineering class: (i) Prior knowledge survey, (ii)Nanotechnology video assigned as a homework assignment, (iii) In-class Q/A session assisted byTablet PC and DyKnow technologies, (iv) Hands-on activities, (v) Video presentation on ananotechnology experiment, (vi) Homework assignments on nanotechnology concepts, and (vii)Post-module surveyPrior Knowledge Survey: The Spring ’08 prior knowledge survey (see Appendix 1) wasimplemented on a voluntary basis and more than 50% students responded (see Figure 2). Studentresponses indicated similar type of misconceptions as were observed in the Spring ’08 pilot.Nanotechnology video presentation: Students were assigned to review a nanotechnology videothat was developed by a nanotechnology expert (i.e
a wind turbine depends on (a) the available windenergy and (b) the rotor design that determines the portion of the available energy that can beharnessed, and (c) losses due to friction and generator efficiency. The ratio of the powergenerated by a wind turbine to the available power from the wind is the coefficient ofperformance Cp. Neglecting losses from friction and generator efficiency (which can besignificant), equation 1 represents the coefficient of performance Cp, where the product of totaltorque Q and rotational speed ψ provides the rotor power; and the denominator is a function ofair density τ, swept area A and average wind velocity parallel to the axis of the turbine, U♣. Qψ
Q kl lta at le or al sp ct ed
starts with the multidimensional definition of quality, Q ? f (Q1 ,..., Q n ) with the nelements that correspond to those factors and features that relate to how the products aredesigned, developed, produced, and used by customers. Functions involving design, production,and service have differing effects among the n dimensions, producing large impact on some andvery little on others. This of course will depend on the particular type of product. The nature ofthe dimensions makes it difficult to establish an overall simple measure of the state of quality,with some dimensions being quantitative while others are very subjective. Warranty feedback, W ? h ] g1 (Q1 ,..., Q n ),..., g m (Q1 ,..., Q n )_ does however, provide an overall weighting of
is remedied by providing better training to the lab instructor.Table 4 lists one question covering a key concept from each lab that most of the studentsanswered correctly in the 2008-1 term. Column “N” indicates the number of responses, and “%”column shows the percentage for easier comprehension. Correct answers are shown in bold inthe “Key” column. In the online quiz system, the responses are randomized. Table 4: Key Question from each lab that most students answered correctly in 2008-1L#/Q# Multiple Choice Question from each lab Key N %L1/Q9 In tensile testing of metallic materials, uniform plastic deformation begins when the N 52 100 applied stress equals
automobile as: 1 1 T = m x& 2 + J θ& 2 . (1) 2 2The potential energy is described in Equation 2 as: 1 1 k 1 ( y + x − l1θ ) + k 2 ( x + l 2θ ) . 2 2 U = (2) 2 2Rayleigh’s dissipation function describing viscous dissipation in the dampers is: 1 1 Q= 2 ( c1 y& + x& − l1θ& ) 2
k n 1 QC = ∑ Δ tiVci ; Q = 1.00 (1) λ i =1 2a M . Arc cos(1 − ) tool - chip interaction time D λ= = (2) milling time 360°Where: Δti : machining time at cutting speed Vi i, j : discrete step Ti : tool life at cutting speed Vi Vc : cutting speed at the circumference Q