6 NAND gates are needed to construct this line decoder when a 2x4 line decoder with enable is implemented using nand gate only.
What is NAND gate?
The NAND gate is a hybrid of the AND and NOT gates. They are linked in a cascade fashion. It is also known as the Negated And gate. Only when their outputs are high or true does the NAND gate provide a false or low output. The NAND gate is necessary because it is used to implement various types of boolean functions.
The NAND gate has the functional completeness property. The NAND gate's function completeness means that it can be used to implement any type of gate. It functions as an OR, NOR, and AND gate.
To learn more about NAND gate, visit: brainly.com/question/25783048
#SPJ4
Answer:
The fathers of the internet are Vinton Cerf and Robert Kahn
Explanation:
Vinton G. Cerf (Vint) was born in 1943 and is an American computer scientist. He researched at Stanford University on packet interconnection protocols and partnered with Robert Kahn in the design and development of the TCP/IP protocol.
Robert E. Kahn was born in 1938 and is an American engineer and computer scientist who worked with Vinton G. Cerf on the development of the TCP/IP protocol which is the crux of the internet today.
Among multiple achievements and awards, they have been awarded the Presidential Medal of Freedom by President Bush in 2005.
Flip bit position 5 to accomplish this. This maps to hex value 0x20, where the least significant bit is assumed to be at position 0.
Example: ascii "A" = 0x41, "a" = 0x61. 0x41 xor 0x61 = 0x20.
You would implement a flip function by XOR'ing the character value with 0x20.
Answer:
Kindly check Explanation.
Explanation:
Machine Learning refers to a concept of teaching or empowering systems with the ability to learn without explicit programming.
Supervised machine learning refers to a Machine learning concept whereby the system is provided with both features and label or target data to learn from. The target or label refers to the actual prediction which is provided alongside the learning features. This means that the output, target or label of the features used in training is provided to the system. this is where the word supervised comes in, the target or label provided during training or teaching the system ensures that the system can evaluate the correctness of what is she's being taught. The actual prediction provided ensures that the predictions made by the system can be monitored and accuracy evaluated.
Hence the main difference between supervised and unsupervised machine learning is the fact that one is provided with label or target data( supervised learning) and unsupervised learning isn't provided with target data, hence, it finds pattern in the data on it's own.
A to B mapping or input to output refers to the feature to target mapping.
Where A or input represents the feature parameters and B or output means the target or label parameter.
Answer:
The flashdrive can hold 35389 400-pages-books
Explanation:
If 
of a page occupies 1 kB of memory, we can calculate how much memory a book will take
Now that we know that a book average file size is about 266,67 kB, we calculate how many of them can a 9 GB flash drive hold.
To do the calculation, we have to know how many kilobytes are in 9 gigabytes.
There is 1024 kilobytes in a megabyte, and 1024 megabytes in a gigabyte, so:
Finally, knowing the average file size of a book and how much memory in kilobytes the 9 GB flash drive holds, we calculate how many books can it hold.
The flashdrive can hold 35389 400-pages-books, or 14155776 pages of typical text.
