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Answer on Question #43589 Programming

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Answer on Question #43589 Programming

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  • How to convert 1111 binary to hexadecimal?

    1110E1111F100001010000020
  • What is the first step in converting binary to hexadecimal?

    The steps to convert binary to hexadecimal are: Break down the binary number into groups with 4 digits in each group. By looking at the conversion table, write the hexadecimal equivalent of each of the groups. Combine all the numbers together to get the hexadecimal number.
  • How to convert base 10 to base-16?

    Converting base-10 to base-16
    You divide the number by the exponent (16) and keep dividing the result until the quotient is 0. At each step you multiply the remainder by 16 to get the hex value. The final step is to string together the hex values, starting with the last value.
  • First convert this into decimal number: = (1101010)2 = 1x26+1x25+0x24+1x23+0x22+1x21+0x20 = 64+32+0+8+0+2+0 = (106)10 Then, convert it into hexadecimal number = (106)10 = 6x161+10x160 = (6A)16 which is answer.

Worked solutions to selected

problems

CHAPI'ER 2

2.1 (a) [1000110101h = 1 x 2

9 + 0 X 2 8 + 0 X 2' + 0 X 2

6 + 1 X 2

5 + 1

X 24 + 0 X 2

3 + 1 X 22 + 0 X 21 + 1 X 20 = 512 + 32 + 16 + 4 + 1 = [565].0 (b) [0.1000110101h = 1 x 2- 1 + 0 X 2- 2 + 0 X 2-3 + 0 X 2- 4 + 1 X 2- 5 + 1 X 2- 6 + 0 X 2-' + 1 X 2- 8 + 0 X 2- 9 + 1 X 2- 10 = 0.5 + 0.03125 + 0.015625 + 3.90625 x 10- 3 + 9.765625 X 10- 4 = [0.5517578125]10

2.2 To convert a decimal integer into binary the algorithm is to repeatedly

divide it by two.

The sequence of remainders written last (the MSB)

to first (the LSB) is the resulting binary number.

For a fractional

number the algorithm is to multiply the fraction repeatedly when the sequence of carries over the decimal point form the binary number. (a) Integer (b) Fraction

2) 21345 (1 0.673

2) 10672 (0 2

2)

5336 (0 1.346 2) 2668 (0 2

2) 1334 (0 0.692

2

2) 667 (1

1.384

2) 333 (1 2

2)

166 (0 0.768

2) 83 (1 2

2) 41 (1 1.536

432 I LI ____ W_O_R_K_E_D_S_O_L_U_T_I_O_N_S_T_O_S_E_L_E_CfE __ D_P_R_O_B_L_E_M_S ___ --'

2) 20 (0

2) 10 (0

2) 5 (1

2) 2 (1

1 (0 = [0101001101100001h

Breaking this into groups

of four, starting from the right, gives:

0101 0011 0110 0001

or [ 5 3 6 1 h6 2 1.072 2 0.144 2 0.288 2 0.576 = [0.1010110h

Breaking into groups of

four, working right from the binary point gives:

0.1010 1100

or [0.ACh6

2.3 [3FDAI04E]16

Convert each digit from hexadecimal

to binary:

0011 1111 1101 1010 0001 0000 0100 0111

Now divide into groups of three starting at the right-hand side:

00 111 111 110 110 100 001 000 001 000 111

Interpret each group as an octal number giving:

[0 7 7 6 6

4 1 0 1 0 7]8

2.4 (a) [1220]4; (b) [0.11233k

2.5 +63
-125 -0.125 (a) Signed magnitude

00111111

11111101

10010000

t

Binary point (b) 2's complement (c) Offset binary

001111:11 10111111

10000011 00000011

11100000 01000000

t t

Binary point Binary point

2.6 The received number comprises the data to be checked together with remainder, both of which could have become erroneous during transmission.

The check is to divide the complete number by the

constant + x 3 + X + 1):

101010) 1010111111100 11000011

101010

111111

101010

101010

101010

00000o

______ W_O_R_K_E_D __ S_O_L_U_T_I_O_N_S_T_O __ S_E_LE_CTE ___ D __ P_R_O_B_L_E_M_S ______ I 433

The remainder is zero, indicating that the data

10101111 is correct.

2.7 (a) 11011.1101 x

22 = 0.110111101 X 27

The IEEE P754 single-precision format is a 32-bit grouping interpreted as: ( -IY2"-127(1·f) where s is the sign digit, e is an 8-bit biased exponent and f is a 23-bit unsigned integer.

For the above number, e -

127 = 7 and e = 134 = [1000011112

The floating-point representation is then:

o 10000111 110111101()()()()()()()(

Table SI Problem 3.2(a).

(i)

Location Instruction Mnemonic Comment (Hex) (Hex)

00 28.06 LDM 06 Fetch loop constant to modifier

01 0009 CLR Clear accumulator

58 FFIM STA FFIM Store accumulator in modified address

8003 jMPM 03 Jump if modifier zero to own location,

i.e. stop

0008 INCM Add + 1 to modifier

8002
JMP

02 Jump to start of loop

06 FF61 Loop constant (2'scomplement of 9F)

(ii)

Location Instruction Mnemonic Comment

(Hex) (Hex)

00 0009 CLR Clear accumulator

01 58 lOll STA lOll Store accumulator in indirect address

02 5008 LDA 08 Fetch operand address

03 4809 SUB 09 Subtract OOF, i.e. last location cleared

04 98 JMPO 04 Jump to self if accumulator zero, i.e. stop

05 40 OA ADD OA Add 0100, i.e. OOFF + 1 (incrementing

by 1)

06 5808 STA 08 Replace modified address

7 8000

JMP

00 Jump back to start of loop

08 60 Operand address

09 OOFF Loop constant

OA 0100 Increment constant

434
I I

WORKED SOLUTIONS TO SELECTED PROBLEMS

Table S2 Problem 3.2(b).

(i)

Location Instruction MnemOnic Comment

(Hex) (Hex)

00 2808 LDM 08 Fetch loop constant to modifier

01 0009 CLR Clear accumulator

40 07 ADD 07 Add + 1 to accumulator

58 FFIM STA FFIM Store accumulator in modified address

AOO4 )MPM 04 Jump to self if zero, i.e. stop

0008 INCM Add + 1 to modifier

8002
JMP

02 Jump back to start of loop

07 1 Constant +1

08 FF61 Loop constant (2's complement of 9F)

(ii)

Location Instruction Mnemonic Comment

(Hex) (Hex)

00 SOOA LDA OA Fetch count to accumulator

01 400B ADD OB Add +1

02 580A STA OA Replace in memory

03 58 OCII STA OCII Store count in indirect address

04 SOOC LDA OC Fetch operand address

05 48 OD SUB OD Test for end" of loop

06 9806 JMP006 Jump to self if zero

07 40 OE ADD OE Increment operand address by + 1

08 580C STA OC Replace in memory

8000
JMP

00 Jump back to start of loop

OA ( ) Accumulating number

OB 1 Constant +1

OC 60 Operand address

OD OOFF Loop constant

OE 0100 Increment constant

(b) 1.01110101 X 2- 12 = 0.101110101 X 2- 11 and e -127 = 11 giving e = 138 and the as: o 10001011 10111010100000000000000 (c) -0.110101011 x 2 6 gives

1 10000110 11010101100000000000000

(d) -0.000001101 x 2- 1 gives

1 01111001

1101000000000000000

WORKED SOLUTIONS TO SELECfED PROBLEMS

Table

S3 Problem 3.3.

Location

Instruction Mnemonic Comment

(Hex) (Hex)

28 10 LDY 10

8OAO

IDA _}

9806 )MPO 06

A003 ]MPM 03 Test for zero loop

0008 JNCM

80 01 JMP 01

06 0005 EXAM

07 8011 STA 11

08 0005 EXAM

09 8011 LDA 11

OA 40 12 ADD 12 Unpacking of address of zero location

OB 58 1311 STA 1311 and storing in table

OC 80 13 LDA 13

OD 40 14 ADD 14

OE 58 13 STA 13

F 8003

JMP 03 10

FFa) Test loop constant, -0040

11 ( ) Temporary store

12 AO

13 Al Address table constants

14 1

CHAPl'ER 3

3.2 Machine-code programs for this problem are given in Tables Sl and

S2.

3.3 A typical program for this problem is shown in Table S3. Note that

in this program we are by having only one modifier register and not being able to increment a memory location directly. The 'test for zero' loop employs the modifier register to increase the speed of operation of the program and the 'unpacking' of the address is performed using indirect addressing. An alternative approach is to use the indirect address function for the test loop, since the actual address could then be held in the indirectly addressed location.

3.4 In this program, given in Table S4, we can take advantage

of the fact that the same modifier constant can be used; therefore we can employ a modified instruction for both transfers.

3.7 This program is shown in Table

S5. The basic logic is to extract the 4-

bit BCD digits using the AND function and then to multiply by I I 435

436 I 1L-___ W_O_R_KE __ D_S_O_L_UT_I_O_N_S_T_O_S_E_L_E_cr_E_D_P_R_O_B_L_E_M_S ___ ---I

Table S4 Problem 3.4.

Location

Instruction Mnemonic Comment (Hex) (Hex)

00 28 OA

01 SO 801M

02 58 OA

03 SO FOIM

04 58 801M

05 SOOA

06 58 FOIM

07 AO 07

08 0008

80 01

OA FFEO

OB ( )

Table SS Problem 3.7.

Location Instruction (Hex) (Hex)

00 28 OE

01 SO OF

02 9806

03 SO OF

04 13 04

05 58 OF

06 6011

07 40 10

08 A008

09 0008

OA AS 12

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