Download Artificial Intelligence and Security in Computing Systems: by Facchinetti Gisella, Franci Francesco, Mastroleo Giovanni, PDF

By Facchinetti Gisella, Franci Francesco, Mastroleo Giovanni, Pagliaro Vittorio (auth.), Jerzy Sołdek, Leszek Drobiazgiewicz (eds.)

Artificial Intelligence and safeguard in Computing Systems is a peer-reviewed convention quantity targeting 3 components of perform and learn growth in info applied sciences:

-Methods of man-made Intelligence provides tools and algorithms that are the root for purposes of synthetic intelligence environments.
-Multiagent Systems contain laboratory examine on multiagent clever platforms in addition to upon their purposes in transportation and data structures.
-Computer protection and Safety provides innovations and algorithms so that it will be of serious curiosity to practitioners. typically, they specialise in new cryptographic algorithms (including a symmetric key encryption scheme, hash services, mystery new release and sharing schemes, and safe info storage), a proper language for coverage entry keep watch over description and its implementation, and hazard administration tools (used for non-stop research either in disbursed community and software program improvement projects).

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Extra info for Artificial Intelligence and Security in Computing Systems: 9th International Conference, ACS’ 2002 Międzyzdroje, Poland October 23–25, 2002 Proceedings

Sample text

To keep the order and systematic of deduction, let us check C-boundary area F family of X, sets yet. ) =CX . -CX . nc I I I Bnc(XZ)=CX z -QCz ={¢} B nc(X3)=CX 3 Bnc(X 4)=CX 4 -QC4 ={¢} -~X3 ={¢} Bnc(F) =B nc( XI )UB nc( XZ)UB nc( X 3)UB nc( X 4 ) = {¢} 47 As it is apparent from calculations, C-boundary area ofF family is an empty set. The same situation occurs for every Xi set. Conclusions derived from above fact are trivial, so they will not be farther considered . 5 Absolute reducts of conditional attributes sets Results of attempts to remove individual attributes illustrates the following table.

The result of the function depends 38 not directly on the change of a given parameter in one sampling interval, but is calculated taking into account the results of adjacent discrete-time instants. The values of the other attributes were determined by using experimental criteria and considering opinions of experts. The generated decision table for the multivariable control task is characterised by the results given in the table I. We can observe that the value of the measure k, defined in the original rough sets theory, was nearly equal to zero in contrast to kAR and k/l'Z.

It was necessary to select condition and decision attributes that, from a point of view ofthe pilot, are important during control of a given variable. The results of analysis of control actions are presented in the tables. The control task was to stabilise the roll angle ofthe aircraft for a required altitude. ec LlH(k) = H(k) - Hreq Cs : w(k) CII ; dl1-(k) = l1-(k) -l1-(k-l) Mh(k-I) = dh(k) - dh(k-I) CI2 ; d/(k-l) CJ3 ; Ml(k-l) = d/(k) - d/(k-I) C9 : d2 : dl(k) d3 : Lldl(k) = d/(k+1) - dl(k) deviation of roll angle from the required value, change of roll angle, rate of change of roll angle, deviation from recovery course, deviation of altitude from the required value, rate of climb, change of rate of climb, change of rudder deflection angle at the instant k-I, deflection angle of ailerons at the instant k-I, change of ailerons deflection angle at the instant k-I , deflection angle of ailerons, change of ailerons deflection angle.

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