Answer:
C. Staging Area
Explanation:
According to my research on different ICS facilities, I can say that based on the information provided within the question the facility being described here is called a Staging Area. Like mentioned in the question a staging area is a location set up at an incident where resources and personnel can be placed while waiting on instructions to proceed with an operation or assignment.
I hope this answered your question. If you have any more questions feel free to ask away at Brainly.
Answer:
Paragraph Styles and character formatting (font, color, etc.)
Answer:
The router NAT configuration has an incorrect inside local address.
Explanation:
The term Inside in a <em>Network Address Translation (NAT) </em>context refers to networks owned by an organisation that must be translated. When NAT is configured, hosts within this network have addresses in one space (known as the local address space). These hosts appear to those users outside the network as being in another space (known as the global address space).
The term Outside refers to those networks to which the stub network connects, and which are not under the control of an organisation. Also, hosts in outside networks can be subject to translation, and can thus have local and global addresses
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:
Point A: Always True
Point B: Sometimes false
Point C: Always False
Explanation:
In the given code snippet. Point A is the first statement within the While loop the statement System.out.println("Welcome to Java!"); will only be executed if the while condition evaluates to true.
At Point B, The statement count++ increases the value of the counter at every iteration, while it will be true for most occasions, at the last increament, this statement will be false that is at count=100, The condition will be false at this point just before program execution breaks out of the loop
Point C is outside of the loop, this happens when the given condition is no longer true.
