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user@bible:~/temp> dd if=realworddoc.doc of=8bytes bs=1 count=8 user@bible:~/temp> cat 8bytes index.html > newfile.doc user@bible:~/temp> file newfile.doc newfile.doc: Microsoft Office Document

for some frequency w and damping rate 7. In the theory of harmonic motion, three cases are distinguished: under-damped motion, damped and over-damped motion. In under-damped m o t i o n , there is never sufficient counterforce to make the oscillations converge to any

Fuzzy set theory is the first to have a theoretical treatment of the problem of vagueness and uncertainty, and have had many successful implementations Fuzzy set theory is, however, not the only theoretical logic that addresses these concepts Pawlak developed a new theoretical framework to reason with vague concepts and uncertainty [Pawlak 1982] While rough set theory is somewhat related to fuzzy set theory, there are major differences Rough set theory is based on the assumption that some information, or knowledge, about the elements of the universe of discourse is initially available This is contrary to fuzzy set theory where no such prior information is assumed The information available about elements is used to find similar elements and indiscernible elements Rough set theory is then based on the concepts of upper and lower approximations of sets.

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user@bible:~/temp> grep Office /usr/share/misc/magic 0 string \376\067\0\043 Microsoft Office Document 0 string \320\317\021\340\241\261\032\341 Microsoft Office Document 0 string \333\245-\0\0\0 Microsoft Office Document user@bible:~/temp> od -b newfile.doc |more 0000000 320 317 021 340 241 261 032 341 074 041 104 117 103 124 131 120 [...]

The command od here gives you an octal dump of the file, and you can see that it has the second of the possible signatures of an Office document at its start.

degree. In damped motion the oscillations do converge quite quickly Finally, with over-damped motion the counterforce is so strong as to never allow any change at all.

The lower approximation contains those elements that belong to the set with full certainty, while the upper approximation encapsulates elements for which membership is uncertain The boundary region of a set, which is the difference between the upper and lower approximations, thus contains all examples which cannot be classified based on the available information Rough sets have been shown to be fruitful in a variety of application areas, including decision support, machine learning, information retrieval and data mining What makes rough sets so desirable for real-world applications is their robustness to noisy environments, and situations where data is incomplete It is a supervised approach, which clarifies the set-theoretic characteristics of classes over combinatorial patterns of the attributes In doing so, rough sets also perform automatic feature selection by finding the smallest set of input parameters necessary to discern between classes The idea of discernibility is defined in Section 21.

If you are confronted with a file that the file command doesn t give very useful information about (perhaps it just reports data ), it may be worth trying to view it with cat -v, with less, or with a text editor. If all you see is binary junk, you may still be able to find out something useful using the strings command, which searches inside a binary file for text strings and outputs them.

Under-damped Damped Over-damped Inefficient: the system can never quite keep errors in check. System converges in a time scale of the order the rate of fluctuation. Too Draconian: processes killed frequently while still in use.

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