Road traffic injury has appeared as a severe problem today, claiming more than 1.25 million lives each year worldwide and draining 3% of the total global GDP. According to the National Highway Transportation Safety Administration, about half a million people got injured in 2014 due to distracted driving related car clashes. In this work, we have considered the brainwave, heart rate and blood pressure level of a distracted driver. Within the various source of distraction (e,g, multitasking, severe weather condition, external sound effects) we monitored the driving behavior through EEG signal. In particular, the alpha, beta, gamma, delta and theta brainwaves have a significant connection with the emotion, stress and other psychological responses. Our EEG data analysis can provide a pathway to detect the physiological condition of distracted drivers and avoid road accidents.
Passivated, carrier-selective contacts have enabled a recent surge in the efficiency of crystalline silicon solar cells by reducing the Shockley-Read-Hall recombination at the electrical contacts for the cell. They operate by allowing the extraction of only the majority carriers from the absorber, i.e., the c-Si wafer. The molybdenum oxide and nickel stack is known to form an effective hole-selective contact. However, the parasitic optical losses they introduced limit the quantum efficiency and therefore efficiency of solar cells featuring these materials. In this work, we introduce photonic nanostructures with reduced parasitic losses in the contacts and enhancement of light trapping in the active area of the cell. The optimized structure shows its potential for increasing photogenerated current density and efficiency as a result.
Conference Committee Involvement (1)
2nd International Conference on Electrical Information and Communication Technology
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