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chemical and toxigenic substances in natural plant and animal foods and food products
which endanger the human health and have harmful effects on human life is very important
for the recognition of offending foods and non-specific changes in a biosystem state [8, 12].
Fig. 31. Functional diagram of “ISLB”: 1 - registration of information patterns;
2 -information sensory patterns of biomatters (blood, saliva, sweat, urine, tears, etc.), food
products, crops or soil; 3 - authentication and identification of biometric patterns;
4 - generating biometric patterns (micro-nanostructure of investigated matters); 5 - drivers
of sensory devices; 6 - sensory data acquisition; 7 - periodicity of the control; 8 - forming
the data packet for the transfer to the server; 9 - encoding and cryptography of the data
packet; 10 - antinoise coding; 11 - modulator; 12 - data transfer using the socket determined
at the client software or the server; 13 - transmission channel; 14 - demodulator;
15 - antinoise decoding; 16 - deciphering the data packet transferred to the server;
17 - expert evaluation (statistical analysis); 18 - data pre-processing; 19 - using optimization
criterions to define temporal information patterns on the basis of the minimization of
intercluster centroid distances; 20 - database of stored reference patterns; 21 - calculation of
distance functions in a multidimensional space; 22 - self-learning the intelligent system;
23 - multicore paralleling of data processing; 24 - neural networks, genetic algorithms;
25 - calculation of reference bioinformation patterns; 26 - generating prediction results
(statistical probability, error of bioinformation pattern recognition); 27 - intelligent system of
decision making for the transfer to the client software; 28 - encoding and cryptography of
the data packet; 29 - deciphering the data packet transferred to the server; 30 - data
transmission of decisions taken by intelligent system
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