The limpel-ziv (lz77) compression technique is used by the GNU zip (gzip) tool to produce a compression ratio of 60–70%.
<h3>How do methods for data compression function? Describe the LZW algorithm.</h3>
Compression methods lower the amount of memory needed to hold pictures and the number of bytes needed to represent data. Compression improves the amount of data that can be delivered over the internet and enables the storage of more photos on a given media.
Abraham Lempel, Jacob Ziv, and Terry Welch developed the table-based lookup technique known as LZW compression to compress a file into a smaller file. The TIFF image format and the GIF image format are two frequently used file formats that employ LZW compression.
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Answer:
Computer is called versatile and diligent device because it is used in almost all the fields for various purposes and it can perform the task repeatedly without loosing its speed and accuracy for long time.
Answer:
1.word = "George slew the dragon"
startIndex = word.find('dr')
endIndex = startIndex + 4
drWord = word[startIndex:endIndex]
2. sentence = "Broccoli is delicious."
sentence_list = sentence.split(" ")
firstWord = sentence_list[0]
Explanation:
The above snippet is written in Python 3.
1. word is initialized to a sentence.
Then we find the the occurence of 'dr' in the sentence which is assign to startIndex
We then add 4 to the startIndex and assign it to endIndex. 4 is added because we need a length of 4
We then use string slicing method to create a substring from the startIndex to endIndex which is assigned to drWord.
2. A string is assigned to sentence. Then we split the sentence using sentence.split(" "). We split based on the spacing. The inbuilt function of split returns a list. The first element in the list is assigned to firstWord. List uses zero based index counting. So. firstWord = sentence_list[0] is use to get first element.
Answer:
Time taken to travel from one track to the next = 0.08ms
Initial track= 15 0
4 (15-4)*(0.08)= 0.88
40 (40-4)*(0.08)= 2.88
35 (40-35)*(0.08)= 0.4
11 (35-11)*(0.08)= 1.92
14 (14-11)*(0.08)= 0.24
7 (14-7)*(0.08)= 0.56
----------------------------------------------
Total seek time=0.88+2.88+0.4+1.92+0.24+0.56=6.88ms
Explanation:
We caculate the seek time for each request, and then add them together to find the total seek time. The final track number for the current request becomes the current track of next request, and this process is repeated till the last request is processed.
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