The development of robust, accurate, real-time cognitive state gauges, based upon operators’ physiological data, is an essential pre-requisite to realizing performance improvements through augmented cognition technology. However, gauges that can identify undesirable cognitive states are only useful if corrective action can be taken when the gauges detect problematic states. Thus, in designing a...

Rainfall is an extremely variable parameter in both space and time. Rain gauge density is very crucial in order to quantify the rainfall amount over a region. The level of rainfall accuracy is highly dependent on density and distribution of rain gauge stations over a region. Indian Space Research Organisation (ISRO) have installed a number of Automatic Weather Station (AWS) rain gauges over Ind...

We have measured the luminescence shifts of ruby’s R1- and R2-lines line 5D0?7F0 from Sm2+:SrFCl corresponding to melting pressure mercury that is recommended by AIRAPT task force as an International Practical Pressure Scale (IPPS). The linear coefficients dependence R1-, R2-lines, are determined be 0.3722 ± 0.002, 0.3796 1.123 0.002 nm/GPa, respectively. results not only put tight constraints ...

I am using the same notations as in [3] and [2]. 2 Temporal gauge-various approaches Obviously the temporal gauge ¯ q i = a i = const or in QED: A 0 = a ∈ R (1) is not a canonical gauge as it does not fulfill eq. (1.59) of [7]. However, we do not need a canonical gauge in order to fix our gauge degrees of freedom. There exist various other gauges (e.g. derivative gauges, multiplier gauges etc.)...