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-Vector Model of the TRIGA Pulsed Nuclear Reactor ---------------------------------------------------------------------------------------------- r is the reactivity in dollars (we change r with time) -- enp is the power in mw (proportional to neutron density) -- en0 is the initial power in mw -- en = enp/en0 is the normalized power (initial value is 10) -- d[i] (i = 1, 2, , 6) are normalized precursor-product densities -- bol = beta/l, lambda = al[i] (i = 1, 2, , 6) -- f[i] (i = 1, 2, , 6) are normalized delayed neutron fractions -- alf is the temperature coeff of reactivity (dollar/cdeg) -- ak is the reciprocal heat capacity (cdeg/mj) ------------------------------------------------------------------ ---------------------display N1 | display C8 | display Q | scale = 200 TMAX= 02 | NN = 5001 | DT = 000001 -----a = 20 | b = 00 | bol = 1400 alf = 0016 | ak = 125 | gamma = 00267 en0 = 0001 ------STATE d[6] | ARRAY al[6], f[6] -fill the al and f arrays data 00124, 00305, 0111, 0301, 114, 301 | read al data 0033, 0219, 0196, 0395, 0115, 0042 | read f -data 1, 1, 1, 1, 1, 1 | read d | -- initial values of -precursor densities temprt = 0 | en = 10 | -initial values drun ------------------------------------------------------------------------------DYNAMIC ------------------------------------------------------------------------------r = a + b * t - alf * temprt | -- b * t is a control-rod input enp = en0 * en DOT sum = f * d | -note DOT product! endot = bol * ((r - 10) * en + sum) omega = endot/en | enlog = 04342945 * ln(en) --------------------------------------------------------------------d/dt temprt = ak * enp - gamma * temprt d/dt en = endot Vectr d/dt d = al * (en - d) ----------------------------------offset display ENP = enp - scale | dispt ENP.

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Note that in equation (8.2) we ignored network and processing delays in receiving ACKs from the client. Our simulations show that this does not have signi cant impact on the algorithm s performance. Knowing the arrival time of each video frame, we can then proceed to estimate the client buffer occupancy. First, we denote K as the rst frame buffered at the client during the initial prefetch period or the rebuffering period. K is initialized to 1 before streaming begins, and when rebuffering occurs, K is set to be the frame that arrives late, e.g., K = i in the example shown in Figure 8.2. Let Bi (in seconds of video data) be the client buffer occupancy when frame i arrives at the client. Then we can estimate the client buffer occupancy Bi according to the following rules:

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FIGURE 3-2a Simulation program for a nuclear-reactor model using vector operations temprt is the reactor temperature

The interesting part is get_option('nbfn_post'), which means that it both collects (and outputs thanks to echo) and saves to 'nbfn_post' in the database. The same in a typical input field would have the get_option() part as the value rather than between the opening and closing tag. Like this:

Case 1 (i K + B p G 1): In this case, frame i belongs to the initial prefetch part of the video or the rebuffering period, i.e., the player has not yet started/resumed decoding the received video data. Thus the buffer occupancy is simply equal to: Bi = (i K + 1) /G (8.3)

FIGURE 3-2b Time-history plot of the reactor heat output enp generated by the program of Figure 32a When the control increases the reactivity r, the chain reaction raises the reactor temperature In the educational TRIGA reactor, this in turn reduces the reactivity, so that a short and safe power pulse results (based on Reference [1])

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Case 2 (i > K + B p G 1): In this case, the way to estimate Bi depends on whether or not frame i has arrived before all the data in the client buffer is consumed as illustrated in Figure 8.3. If (Ti 1 + Bi 1 ) Ti 0, that means frame i has arrived before the client buffer becomes empty, then Bi is estimated as: Bi = (Bi 1 + Ti 1 ) Ti + 1/G (8.4)

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Otherwise, if (Ti 1 + Bi 1 ) Ti 0, that means the client buffer has been empty for a period of time before frame i arrived, then Bi is simply equal to the time value of a frame, i.e.: Bi = 1/G (8.5)

The rotation matrix A representing our plane rotation is a useful abstraction; this becomes evident when we want to rotate several vectors x1, x2, through the same angle theta:

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