Answer:
There are different phases of railroad expansion with the innovations in technology.
Explanation:
Few of the technological innovations are described below that leads in railroad expansion more rapid.
1. Centralized Traffic control (CTC) is introduced in 1960's that is used to control the traffic on railroads using different signal control.
2. In 1990's after computer technology involvement, railway ticket and reservation system is automate and being centralized. That makes the railroad expansion improve.
3. Bullet train technology has been introduced, that makes the railway trains more faster.
4. Electric trains has been introduced to use green energy and reduce the dependency on the fuel to make environment clean and green.
Answer:
It we were asked to develop a new data compression tool, it is recommended to use Huffman coding since it is easy to implement and it is widely used.
Explanation:
The pros and the cons of Huffman coding
Huffman coding is one of the most simple compressing encoding schemes and can be implemented easily and efficiently. It also has the advantage of not being patented like other methods (e.g. arithmetic codingfor example) which however are superior to Huffman coding in terms of resulting code length.
One thing not mentioned so far shall not be kept secret however: to decode our 96 bit of “brief wit” the potential receiver of the bit sequence does need the codes for all letters! In fact he doesn’t even know which letters are encoded at all! Adding this information, which is also called the “Huffman table” might use up more space than the original uncompressed sentence!
However: for longer texts the savings outweigh the added Huffman table length. One can also agree on a Huffman table to use that isn’t optimized for the exact text to be transmitted but is good in general. In the English language for example the letters “e” and “t” occur most often while “q” and “z” make up the least part of an average text and one can agree on one Huffman table to use that on average produces a good (=short) result. Once agreed upon it doesn’t have to be transmitted with every encoded text again.
One last thing to remember is that Huffman coding is not restricted to letters and text: it can be used for just any symbols, numbers or “abstract things” that can be assigned a bit sequence to. As such Huffman coding plays an important role in other compression algorithms like JPG compression for photos and MP3 for audio files.
The pros and the cons of Lempel-Ziv-Welch
The size of files usually increases to a great extent when it includes lots of repetitive data or monochrome images. LZW compression is the best technique for reducing the size of files containing more repetitive data. LZW compression is fast and simple to apply. Since this is a lossless compression technique, none of the contents in the file are lost during or after compression. The decompression algorithm always follows the compression algorithm. LZW algorithm is efficient because it does not need to pass the string table to the decompression code. The table can be recreated as it was during compression, using the input stream as data. This avoids insertion of large string translation table with the compression data.
There is a set amount of energy in the universe and you cannot destroy or create energy.
Based on the contextual situation, the cable stations across the country from 8:00 p.m. to 10:00 p.m., or during <u>Late-fringe time</u>.
<h3>What is Late-Fringe Time?</h3>
Late Fringe time is a term used in television that describes the television hours that follow the prime time.
Generally, the prime period is usually between 8:00 p.m. to 10:00 p.m., while the Late Fringe time is around 11 p.m. to 1 a.m.
Hence, in this case, it is concluded that the correct answer is "<u>Late-Fringe period."</u>
Learn more about Television hours here: brainly.com/question/1006994
Answer:
i<6 is the "end guard". This means that the loop continues while this is true, and ends when this is false.
i++ is the "continuation", it is the operation executed when the loop continues. i++ increases the value of i by one.
