Some disadvantages of taking part in a video-conference are:
1) Lack of communication from social cues (social cues are what we use to see if someone is in a good or bad mood)
2) There is a high chance of unstable network connection.
3) Technical and personal issues because not everyone is comfortable speaking on a video-conference platform.
4) It causes more stress due to the lack of organization when preparing meetings (because it’s so easy to just get on a device without preparing anything beforehand).
Hope this helped!
Answer: <em><u> How to code for a database? A database is an organized collection of data, generally stored and accessed electronically from a computer system. Where databases are more complex they are often developed using formal design and modeling techniques. </u></em>
WWW. Wikipedia.com
Explanation: When creating a database first you need to make a software program then you need to start planing on what to do ...
{ A database management program (DBMS) is a software package design designed to manipulate, define, retrieve, and manage data in database.
A DBMS generally manipulates the data itself, the the data format, field names, record structure and file structure.}
<h3><u><em>
HoPe ThIs HeLpS YoU!!</em></u></h3>
<u><em /></u>
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.
<span>The RAID level 2 could give high
information exchange rates and would be straightforward contrasted with other
Raid levels. Be that as it may, it has a high cost and would need a high rate move
required with a specific end goal to legitimize this cost.</span>
Answer:
The expression of this question can be given as:
Expression:
*ip + 1
Explanation:
In this question, it is given that ip variable has been declared and initialized and the ip variable is in the first half of the array. It finds the expression whose value is after the element of the array that ip points. So the expression to this question is *ip + 1. Where * is used to define ip variable as a pointer and its value is increased by 1 that is given in the question.
