Answer:
FFF4
Explanation:
Binary representation of 12 = 00001100
Expressing it in hexadecimal format : 0C
Binary representation of -12:
Step 1 : Computing 1's complement for 12 =11110011
Step 2 : Adding 1 to 1's complement to get the 2's complement =>
11110011+1 = 11110100
Converting the 2's complement representation to hexadecimal format:
F4 ( 8 bit representation) or FFF4 ( 16 bit representation)
Answer:
The Arduino boards can be programmed in assembly. All you need is an ICSP Cable (In Circuit Serial Programmer) and the AVR toolchain (free from ATMEL) to write to the board. You then get the advantage of on board debugging.
As you suggested, you can just slap an ATMEL chip on a breadboard and go to town.
Explanation: cause i said so
Answer: Option C : Make a decompression stop that splits the difference between what your buddy's computer requires and what yours does.
Explanation:
Dive computers are battery-powered computers within a watertight and pressure resistant case. These computers track the dive profile by measuring time and pressure.
hence, making a decompression stop that splits the difference between what your buddy's computer requires and what yours does is the best option.
Answer: Data center technologies are the innovations that support the IT(Information technology) department and its functioning like storing data, management, operating etc. Data centers provide the help in functioning of the cloud services.
The modern cloud computing services require data centers for operations protecting data when the the power of the network goes off or any other failure occurs while data is getting updated or accessed.
Answer:
Normalization of storage is a typical method of storing the floating point number by shifting the decimal after the first figure of the number such as 1101.101 is normalized to 1.101101x23.
If the number that is in hovering point representation has 1 sign bit, 3-bit exponent with a 4-bit significant:
whenever the storage is normalized, then the biggest positive floating spot number in 2`s and the complement notation is 0.11112 x 23 = 111.12 =7.5
If the storage is returned to normal, then the minimum positive floating point number is 0.12 x 2-4 =0.000012 =1/32 = 0.03125.
Explanation:
Whenever the floating figure is keyed into the computer memory, then the first bit will be the sign bit, the next 8 bits are for exponent and 23 bits are used for storing significand. The array of exponents is from -127 to 128. While Exponent 127 stands for 0 and positive figures can be represented by values bigger than 127. The biggest floating point number will be represented as 0.111111.... 1111x 211111111
