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erences the sequence in the dictionary The longer the dictionary sequences are and the more frequently they are repeated in the uncompressed data, the greater the compression The trick in dictionary-based compression is how to transmit the dictionary in the compressed data The most common dictionary-based compression schemes in use are based upon those described by Abraham Lempel and Jacob Ziv (1977 and 1978), and known as LZ77 and LZ78, respectively LZ77 uses a sliding window into the uncompressed data to implement the dictionary1 LZ78 builds a dictionary dynamically from the uncompressed data GIF Compression LZW is a variant of the LZ78 process that was described in a paper by Terry Welsh of Sperry (now Unisys) in 1984 CompuServe adopted it for use in the GIF format shortly afterwards In the LZW method, the compressed data stream consists entirely of codes that identify strings in a dictionary The dictionary is initialized so that it contains each possible data value as a predefined string For example, if 8-bit data is being encoded, the dictionary initially contains 256 1-byte strings containing the values 0-255 The compression reads characters from the input stream and appends them to the current string until the current string no longer has a match in the dictionary At that point it outputs the code for the longest matching string, adds the nonmatching string to the dictionary (the matching string plus one character), and finally starts a new string that contains the first nonmatching character Each time a code is written to the output stream, an entry is added to the dictionary Algorithm 122 illustrates how the dictionary is created in the LZW process Here we are assuming that 8-bit data is being used and that the function Output writes 9-bit codes to the output stream Figure 125 shows how a sample string would e compressed using the LZW process The first column shows the string at each stage in the compression process; the second column shows the value written to the output stream at each stage; and the third column shows the new code that is created This input string in Figure 125 consists of 27 characters Using 8 bits per character, the string requires 216 bits The LZW process uses 20 literal values and dictionary codes to represent the string, so 9 bits are required to encode each LZW value, giving a total of 180 bits a reduction of 17% in the compressed version It takes only 33 codes to encode the same string repeated twice (a 31% reduction) and 42 codes to encode it repeated three times (a 41% reduction) The more repetition in the input stream, the greater the compression the LZW process gives.

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Then, it can send GIF output instead of JPEG because he client does not prefer it . Code39 Creator In VB.NET Using Barcode encoder for VS .This user agent information is used heavily by many Web sites A site that is optimized for Netscape Navigator (that is, it uses a feature of HTML, or JavaScript, or a plug-in, that works well in Netscape Navigator) might use the HTTP_USER_AGENT information to return a different page for users surfing to the site with IE, or any of the other less popular browsers However, I recommend that you stick to standard HTML (HTML specification for the current standard is available at wwww3org), and that you not implement browser-specific features at all Although optimizing your pages for a single browser might make them look ool on that browser, not everybody is using that particular browser This means that your browser-specific HTML tags or plug-ins may make it harder for others (who do not use your preferred browser) to visit your Web site.Related: 

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Establishing a name service is not difficult, but BIND is omplex and we shall only skim the surface in this book. More detailed accounts of DNS configuration can be found in refs. [5, 187]. A tool for managing domain naming and electronic mail has been described in ref. [228]. 8.5.1 Primary and Secondary Servers (Master and Slave). in java generate, create 1d barcode none on . The master- slave relationship exists precisely to make the mirroring f data as straightforward as possible. In practice, master and slave servers are identical, as seen from the outside. The only difference is in the source of the data: a primary or master server knows that it should propagate changes to all secondary servers, while a secondary or slave server knows that it should accept updates. The nameserver daemon is started once by root, since the DNS port is a privileged port. To function, the daemon needs to be told about its status within the DNS hierarchy, and it needs to be told where to find the files of domain data. This requires us to set up a number of configuration files. The files can seem cryptic at first, but they are easy to maintain once one has a working configuration. 8.5.2 File Structure on the Primary.Related: 

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