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Intelligent Systems by V. Koleshko

By V. Koleshko

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The transmission is realized through a socket defined at the client software or the server. Then information is conveyed to the server where the received data packet is decrypted and decoded, but data preprocessing, self-learning of the intelligent system based on expert judgements and previous obtained results are fulfilled. A high learning rate is achieved by means of the intelligent self-learning software “ISLB” based on multicore programming algorithms. ). There is displayed information on a screen with a full electronic intellect-map of functioning agricultural or farm enterprises during production steps of precision agriculture, an electronic map of the biosafety of raised cultures to control introduced fertilizers, toxic substances in soil or the level of crop yield.

Saliva protein and enzymatic components characterize a human functional state during the physical activity therefore. , the immunoglobulin secretion (IgA) is reduced over a long period of time especially after coffee and alcohol. A simultaneous exposure to different ecological factors is known to have direct and indirect profound effects on the human organism. Fig. 20. Non-invasive LED analysis of saliva information patterns cleaning teeth A geomagnetic factor connected with the Earth's magnetic field variability because of the increased solar activity has the strongest impact on the human health in particular [10].

The presented optical information patterns of different berries and foodstuffs (bread, butter, curds, flour, etc) in the figures 27, 28 can be applied as reference information for the detection of harmful or dangerous toxic components and the content of heavy metals which are accumulated in soil especially because of the nonuniform application of mineral fertilizers, microbial contamination and kept in harvested crops and produced foods [1, 3-5]. Wavelength 405 (violet) 460 nm (blue) 505, 530 nm (green) 570 nm (yellow) 620 nm (orange) 660 nm (red) 405-650 (white colour) 760-2400 nm (infrared light) Reflection coefficient light flour dark flour 0,18 0,16-0,17 0,84 0,72-0,76 0,92 0,81-0,83 0,78-0,82 0,7-0,6 0,87-0,82 0,81 0,87-0,93 0,85 0,77-0,81 0,7 0,89 0,86-0,87 Table 7.

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