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EN
Plant nutrition presents one of the main concerns of table growers in Morocco. Since the increase of the prices of fertilizers, the optimization of the amount of nutrients elements is important. Crop deficiency in terms of Nitrogen (N), Phosphorus (P) and Potassium (K) was demonstrated to decrease growth and productivity of plants. The objective of this research was to investigate the effect of adding Basal N-P-K Fertilizer (15-15-15) to soil on some physiological parameters of table grapes, such as chlorophyll fluorescence, plant growth and fruit yield. Trials were conducted northeast of Morocco and under Mediterranean climate conditions on a production of 8-year-old table grapes (v. Regal). The planting density was 2000 plants/ha. In a field of 10 ha of commercial production, a plot of twenty-four trees were selected for each treatment (control (C) and treated (Tr) plants with basal fertilizer). A basal fertilizer (15-15-15) was applied in the beginning of the vegetative growth stage, at 5 cm above to the root system. An amount of 150 g/tree was applied. A conventional fertilization program was used by the grower in both control and treated plots, except for the prototype treatment plots where the basal fertilizer was only applied. No significant effect of the treatment on plant growth and fruit yield was noted. Moreover, no significant difference was recorded on leaves relative water content (RWC), chlorophyll content (LCC), and chlorophyll fluorescence parameters such as: F0, Fm, Fv/Fm, Vi Vj, ABS/RC, DI0/RC, TR0/RC, ET0/RC and RE0/RC.
EN
Increase in motorization and densification of populations in cities have led to the use of more resources both for the construction of different objects and for the service and operation of automotive vehicles. As a result, volumes of freight transportation, which are related to the construction and servicing of these objects, increase. New scientifically applied tasks that are related to the safety of freight transportation have emerged. Special attention is being paid to those that are related to dangerous tasks. It is obvious that traffic safety and the quality of the transportation process significantly depend on the behaviors and actions of the driver. The driver, as it is known, is the main chain of the “driver - automobile - road - environment” (DARE) system. With improvements in the technical and operational parameters of vehicles and road characteristics, the study of the functional state (FS) of the driver and the reliability of his skills become more important every time. The specific importance of this becomes clear when drivers operate vehicles that transport dangerous goods. Therefore, research on the interaction of chains of the DARE system (using improved existing and developed methods by the authors) is carried out in this paper, taking into account the indicators of drivers’ FS in different situations (stress index, which consists in evaluation of the heart and brain operations). The results obtained provide an opportunity to predict their behavior in different road situations and, as a consequence, to determine possible risks during the transportation of dangerous goods. The authors improved the methodology of determining the levels of possible risks of accidents and assessment of their consequences, taking into account the peculiarities of transportation routes, traffic conditions, and psychophysiological indicators of the driver`s body during the transportation of dangerous goods within settlements and on the roads between them.
EN
This paper presents the experimental results for stress index calculation using developed by the authors information technology for non-contact remote human heart rate variability (HRV) retrieval in various conditions from video stream using common wide spread web cameras with minimal frame resolution of 640x480 pixels at average frame rate of 25 frames per second. The developed system architecture based on remote photoplethysmography (rPPG) technology is overviewed including description of all its main components and processes involved in converting video stream of frames into valuable rPPG signal. Also, algorithm of RR-peaks detection and RR-intervals retrieval is described. It is capable to detect 99.3% of heart contractions from raw rPPG signal. The usecases of measuring stress index in a wide variety of situations starting with car and tractor drivers at work research and finishing with students passing exams are presented and analyzed in detail. The results of the experiments have shown that the rPPG system is capable of retrieving stress level that is in accordance with the feelings of experiments’ participants.
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