Intelligent system for testing of object information state

Івахів, Орест; Mushenyk, Petro; Bazylevych, O.

doi:10.1109/idaacs.2011.6072845

Cited by 3 publications

(2 citation statements)

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“…Thus, this enumeration method is asymptotically effective at a sequence considerable size of N, because the minimum possible expenditures on an enumeration cannot be less than the entropy value [24,25]. Such an approach may be used at designing of intelligent devices [26][27][28].…”

Section: Statistics Of System Sources Activities Is a Priori Unknownmentioning

confidence: 99%

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Information State of System Estimation

Івахів¹

2016

IJC

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As far as the behavior of the object under study is random, it is difficult or even impossible to create an adequate program of its regular maintenance. A better result provides an adaptive servicing algorithm for the needs of current monitoring and control of the object. Nowadays, both different adaptive algorithms and capabilities of a sample group coding are effectively used for this purpose. The demand to the channel capacity regarding the required decrease of the binary digit rate has always been an actual task. Recently, it is observed that the creation of a new system is frequently based on the employment of the entropy measure and permutation encoding. Such applications are known to be used for biometric systems, cryptography, body wireless networks and others. A concrete combination of active source addresses (with significant samples) may be considered as some generalized image of the object under study. It can be used as information for the control function of the next level of the cyber-physical system as well. The paper deals with considering the possibility of the most efficient usage of a transmission channel capacity and receiving of a generalized image of a servicing object state as the entropy estimation of its sensors activities. The estimating operation procedures are also described. The ways of such tasks solving are described and the above mentioned coding procedure is presented.

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Section: Statistics Of System Sources Activities Is a Priori Unknownmentioning

confidence: 99%

“…The permutation numerical coding algorithm is found on the chain division after the permutation place symbol [28]. It was noticed that a power of each subset is proportional to the ratio of a number of certain type of symbols to the total sequence positions number.…”

Section: Processing Algorithm Descriptionmentioning

confidence: 99%