The person watching Lances friend typing the ATM pin is an example of shoulder browsing. Lances friend should change the ATM pin.
<h3>What does ATM mean?</h3>
This is known as automated teller machine. It is said to be a kind of unique computer that makes it easy to manage a bank account holder's money.
Based on the above, The person watching Lances friend typing the ATM pin is an example of shoulder browsing. Lances friend should change the ATM pin so that his funds will not be stolen.
Learn more about ATM from
brainly.com/question/12629434
#SPJ4
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.
Answer:
False
Explanation:
An abstract class is a class declared abstract — it may or may not include abstract techniques. It is not possible to instantiate abstract classes, but they can be sub-classed.
<u></u>
<u>Abstract method declaration</u>
abstract void moveTo(double X, double Y);
Usually the subclass offers solutions for all of the abstract techniques in its parent class when an abstract class is sub-classed. If not, however, the subclass must be declared abstract as well.
<u>Example</u>
public abstract class GraphicObject {
// declaring fields
// declaring non-abstract methods
abstract void draw();
}
To locate emails with large attachments, go to your email and then choose the option of Choose File > Cleanup Tools > Mailbox Cleanup.
Here , one has to Log into their email account and open their inbox and then use the Search Mail bar and type Size to locate or they Set the Find items that are larger than to 9999 and then one has to click Find.
<h3>How do I find emails by attachment size?</h3>
This can also be done for messages that has a size equal to or bigger than 25.
One has to open their message and then they have to right-click on the attachment. You can choose Save As and save to the location of the choice you want.
Learn more about attachments from
brainly.com/question/978078
