6.2. In this problem, we want to compare the computational performance of symmetric and asymmetric algorithms. Assume a fast public-key library such as OpenSSL [132] that can decrypt data at a rate of 100 Kbit/sec using the RSA algorithm on a modern PC. On the same machine, AES can decrypt at a rate of 17 Mbit/sec. Assume we want to decrypt a movie stored on a DVD. The movie requires 1 GByte of storage. How long does decryption take with either algorithm

The total revenues for a company are $150,223 and the total expenses were 125,766. if you are calculating the net income, which of these spreadsheets would you use? insert a spreadsheet with $150,223 in cell b2 and 125, 766 in cell b3. enter a formula =b2-b3. the formula should be showing in the formula bar. insert a spreadsheet with $150,223 in cell b2 and 125, 766 in cell b3. enter a formula =b2+b3. the formula should be showing in the formula bar. insert a spreadsheet with $150,223 in cell b2 and 125, 766 in cell b3. enter a formula =b2/b3. the formula should be showing in the formula bar. insert a spreadsheet with $150,223 in cell b2 and 125, 766 in cell b3. enter a formula =b2*b3. the formula should be showing in the formula bar.

Alook-up table used to convert pixel values to output values on a monitor. essentially, all pixels with a value of 190 or above are shown as white (i.e. 255), and all values with a value of 63 or less are shown as black (i.e. 0). in between the pixels are scaled so that a pixel with a value p is converted to a pixel of value 2/127 −+3969). if a pixel has a value of 170 originally, what value will be used to display the pixel on the monitor? if a value of 110 is used to display the pixel on the monitor, what was the original value of the pixel?

Using least squares fitting, you are to fit the data sets to the following models and solve for the parameters ai , where i is the index of the parameter. the input/output data for the systems are linked in the bblearn site. for each of the systems use matlab to plot the supplied data vs. the model fit on one plot. include your code in the solutions. (a) linear fit "lineardata.mat" y=a1x^3 + a2x^2 + a3x + a4 (b) plant fit "plantdata.mat g(s) = a1/(s + a2)