Already have an account? Get multiple benefits of using own account!
Login in your account..!
Remember me
Don't have an account? Create your account in less than a minutes,
Forgot password? how can I recover my password now!
Enter right registered email to receive password!
Conversion of decimal number 25.5 into binary numberAns. There is integer part is 25 and fractional part is 0.5. Firstly convert the integer part 25 in its equal to binary number that is, divide 25 with2 till the quotient becomes 0 shown in table.
Therefore, integer part decimal number 25 is equivalent to the binary number 11001. After that convert fractional part 0.5 in binary form that is, multiply the fractional part 0.5 with 2 till you find remainder as 0.
So the decimal fractional part 0.5 is equal to binary number 0.1. Thus, the decimal number 25.5 is equivalent to the binary number 11001.1.
What are the different database integrities? Semantic Integrity. Relational Integrity. Primary Key Integrity. Value Set Integrity. Foreign Key integrity and
Describe the various ways of floating point representation in memory. What is the importance of normalizing the mantissa in this representation? Explain it by example(s)?
what are advantages and disadvantages of bresenham''s line drawing algorithm?
Q. Explain Sample Instruction Format of MIPS instruction? All MIPS instructions are of same size and are 32 bits long. MIPS designers chose to keep all instructions of same len
Why data bus is bidirectional and address bus is unidirectional in most microprocessors? The data bus is bidirectional because the data bus has to transfer data among the CPU a
Minimize the logic function F(A, B, C, D) = ∑ m(1,3,5,8,9,11,15) + d(2,13) using NOR gates with help of K-map. Ans. Realization of given expression by using NOR gates: In POS
Q. What is Missing offset? The xxxx in machine language for instruction at line 0010 is there since the assembler doesn't know DATA segment location which will be determined at
#question.constructors and destructors
DEFINE FILE ORGANISATION
Use linear activation function and Hebbian learning for a SLFF network to attempt to learn the following two sets of patterns. Why can the patterns be learned, or why can they not
Get guaranteed satisfaction & time on delivery in every assignment order you paid with us! We ensure premium quality solution document along with free turntin report!
whatsapp: +91-977-207-8620
Phone: +91-977-207-8620
Email: [email protected]
All rights reserved! Copyrights ©2019-2020 ExpertsMind IT Educational Pvt Ltd