Answer:
1 - Select the slide you want to move
2- Hold down the mouse button
3- Drag the slide where you want it
4 - NA
5- NA
6- NA
Explanation:
1 - Select the slide you want to move
it allows us to select the slide which we want to move by just clicking left mouse button
2- Hold down the mouse button
it allows the selected slide to stick with cursor
3- Drag the slide where you want it
It allows the slide stick with the cursor to drag it by moving the cursor to the required position
4 - NA (Choose move from the toolbox menu)
There is on toolbox against the slide as toolboxes are only available within a slide that is what we are writing on the slides
5- NA (Enter the slide position you want)
There is no command line in which we may enter the slide position to move the slide to a different serial number
6- NA (Switch to the Notes view)
Switching to notes view allows us to write notes with the corresponding slide whereas it doesn't do anything related to moving the slide
Computer Communication Software
I hope this helps! :)
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.
Try restating system software and delete anything that may have caused the online fraud then remove all credit cards and info on the device. Tell the authorities and get a new device and email with a software protector. When doing this DO NOT DO WHAT YOU ORIGINALLY DID TO GET VICTIMIZED AND (DON'T TRY TO SIGN INTO YOUR PREVIOUS EMAIL ON A NEW DEVICE)
