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1. A Bayesian network is shown for the variables paper Thickness, paper Alignment and Print Quality. The conditional probabilities are provided in the tables beside the nodes. Here, Thickness = {high or low}, Alignment = {straight or angled}, and Print Quality = {good or bad}.
Calculate the following quantities from the information in the Bayesian network.
a) P(Alignment = straight)
b) P(Alignment = straight | Print Quality = good)
Design a 1-bit full adder: Verify your design Use the 1-bit full adder to build a 4-bit adder with Ci=0 Verify: 1 + 4, and 9 + 9 Sram design: Cell: p - 0.5/0.045;
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