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// Registers all inputs module InputRegsEnc( output reg [32 * Nk - 1:0] oKey, output reg oReady, oKeysValid, output reg [127:0] oPlaintext, input iClk, iReset, input [32 * Nk - 1:0] iKey, input iNewKey, iReady, input [127:0] iPlaintext); reg [32 * Nk - 1:0] KeyReg; reg NewKeyReg, ReadyStaged; reg [127:0] PlaintextStaged; always @(posedge iClk or negedge iReset) if (!iReset) begin oKey <= 0; oReady <= 0; oPlaintext <= 0; NewKeyReg <= 0; KeyReg <= 0; oKeysValid <= 0; ReadyStaged <= 0; PlaintextStaged <= 0; end else begin NewKeyReg <= iNewKey; KeyReg <= iKey; if (NewKeyReg) begin oKeysValid <= 1; oKey <= KeyReg; end else oKeysValid <= 0; ReadyStaged PlaintextStaged oReady oPlaintext end endmodule <= <= <= <= iReady; iPlaintext; ReadyStaged; PlaintextStaged;

TABLE 7.16. Results of MANOVA for RtoL Task, Experiment One MANOVA Effect 1 2 12 Effects Studied: 1 interface, 2 visibility Wilks Lambda 0.406424 0.988945 0.990999 df 1 2 2 2 df 2 90 90 90 p-Level 0.000000 0.606390 0.665716

If I had any desire at all to start making trades this week, it came in just the last day or so because I now have a tested system and I had seen so many examples from that system that I can t really know much more about how it works until I trade it with real money HARVEY: All of this is exactly what I wanted to hear Now we ll get down to the last law of trading: I will hold myself accountable Harry, your wife is going to hold you accountable, and she is going to make sure that you.

TABLE 7.17. Results of MANOVA, Experiment Two MANOVA Effect 1 2 12 Effects Studied: 1 visibility, 2 day Wilks Lambda 0.839068 0.479769 0.631314 df 1 2 2 2 df 2 9 9 9 p-Level 0.454033 0.036698 0.126213

Appendix A // RoundsIterEnc.v // This module iterates the intermediate data through the round block module RoundsIterEnc( output reg [32* Nb-1:0] oBlockOut, output reg oValid, input iClk, iReset, input [32* Nb-1:0] iBlockIn, input iReady, input [127:0] iRoundKey); reg [3:0] round; // keeps track of current round reg ValidReg; reg [127:0] BlockOutReg; wire [127:0] wBlockIn, wBlockOut; wire wReady, wValid; assign wBlockIn = iReady iBlockIn: wBlockOut;

Independent variables: 1. Visibility, with 2 levels: visible and invisible. 2. Day (repeated measures), with 2 levels: day 1 and day 2.

follow everything that we ve said so far. You will need to keep a notebook of your trades. In that notebook, you ll write down your trade plans, including the size of the trade, the entry, the stop, and the limit. You ll write down your thoughts about the trade, and how it compares with other trades you ve already taken. You ll include thoughts and a review once the trade is closed. If you can, you should print off a screen shot of the chart from the trade and include that in the notebook as well. Gini will sign off on every closed trade, which means she will have seen exactly what you planned and if you followed through on the plan. GINI: I like this. I like the idea of being included in the trading. ME: I like it too. This is going to definitely help me maintain some discipline. HARVEY: Gini, how do you feel about Harry doing some trading, starting this week GINI: As long as we abide by the rules you ve laid out, then I am excited to give it another try. HARVEY: Then let s see what Harry Banes can do. For real this time.

// ready is asserted when we have a new input or when the // previous round has completed and we are not done assign wReady = iReady || (wValid && (round != Nr)); RoundEnc Riter(.iClk(iClk), .iReset(iReset), .iBlockIn(wBlockIn), .iRoundKey(iRoundKey), .oBlockOut(wBlockOut), .iReady(wReady), .oValid(wValid), .iRound(round)); always @(posedge iClk or negedge iReset) if(!iReset) begin round <= 0; oValid <= 0; oBlockOut <= 0; ValidReg <= 0; BlockOutReg <= 0; end else begin oValid <= ValidReg; oBlockOut <= BlockOutReg; if(iReady) begin round <= 1; ValidReg <= 0; end else if(wValid && (round != 0)) begin // rounds continue and data has completed another round if(round == Nr) begin // data has completed last round round <= 0;

The results are shown in Table 7.17. The p-level for the interaction effect is bigger than the signi cance level (0.05), pointing to no signi cant interaction effect. This means the result for one independent variable is not modi ed by the other independent variable. The p-level for the visibility factor is also larger than the signi cance level, so the null hypothesis should be accepted. In other words, the overall human performance is not affected by the visibility factor. The p-level for the day factor suggests a slight effect of the day (training) factor on human performance. This reconciles with our knowing that the overall subjects performance was better on day 2 compared to day 1. In order to see which indicator of human performance might be affected by the day (training) factor, multiple univariate ANOVAs have been performed. 4. ANOVA was applied to the path-length-dependent variable in Experiment Two. The variables involved are as follows: