Preliminary results of UV-B measurements at Mysore

Global UV-B flux data have been recorded at Mysore (12-degrees-N, 76-degrees-E) since April 1987. The results of a preliminary analysis on the variation of UV-B flux with atmospheric ozone for the period April-May 1987 and erythemal dose in MPE units for two selected days are reported

Optimization of Cutting Parameters in Drilling of AISI 304 Stainless Steel Using Taguchi and ANOVA

AbstractThe present work deals with the effect of cutting parameters namely cutting speed, feed rate and helix angle on the tool life. The experiments were performed on drilling of AISI304 steel with carbide drill bits. Design of experiments was prepared according to Taguchi orthogonal array of L8 and experiments were performed with two levels of the cutting parameters. The effects of cutting parameters were analyzed by evaluating the amplitude of drill bit vibration and surface roughness. A Laser Doppler Vibrometer (LDV) was used for online data acquisition of drillbit vibration and a high-speed Fast Fourier Transform analyzer is used to process the acousto optic emission (AOE) signals. Taguchi and Analysis of Variance methods were used to identify significant cutting parameters affecting the drill bit vibrations and surface roughness. From the experimental results vibration of drill bit is found to be increased with the progression of the tool wear. Optimum levels of cutting parameters for surface roughness are obtained as 25 degrees of helix angle, 12mm/min of feed rate and 800rpm spindle speed. Optimum levels of cutting parameters for acceleration of vibration are obtained as 25 degrees of helix angle, 10mm/min of feed rate and 600rpm spindle speed

Seasonal variation of global UV‐B flux and its dependence on atmospheric ozone and particulate at a low latitude station

Seasonal variation of the ground reaching global UV-B flux at a low latitude non-industrial location Mysore (12.6-degrees-N, 76.6-degrees-E) is examined in comparison with the seasonal variation of atmospheric ozone data from the Dobson spectrophotometer operated at Kodaikanal (10.2-degrees-N, 77.5-degrees-E). The observed dissimilar variation of the global UV-B flux with ozone for different solar zenith positions indicates the role of seasonally varying atmospheric aerosols and particulate in producing enhanced scattering of UV-B radiation in summer period. Monthly variation of atmospheric turbidity coefficient beta also indicates the seasonal variation of the atmospheric aerosol and particulate concentrations which are larger for the summer months

The impact of Caputo-Fabrizio fractional derivative and the dynamics of noise on worm propagation in wireless IoT networks

The main objective of this article on Wireless sensor network of the Internet of Things (IoT). The wireless network, B bluetooth network, infrared network, and other networks are the key components of the Internet of Things (IoT). The major emphasis of this work was on the impact of Caputo-Fabrizio fractional derivative on worm propagation in heterogeneous susceptible-exposed-infected-recovered wireless IoT devices. We first determined the equilibrium points and fundamental reproduction number for the Caputo-Fabrizio HSEIR system, and then we discussed the stability of the system at the worm propagation equilibrium point. Using the Picard-Lindeof method, we determine the existence and unique solution for the fractional CF system of the heterogeneous SEIR model. Next, we use fixed point theory to judge the stability of the iterative method. We investigate the impact of the derivative order on the behaviour of the resultant functions and acquired numerical values by computing the model's findings for various fractional orders. In addition, we compute the integer-order model's results and contrast them with the results of the fractional-order model. We develop a periodically intermittent controller driven by white noise with the amazing benefits of reduced cost and more adaptable control technique to restrict the spread of worms in wireless IoT networks. To clearly define the conditions for stability in probability one, we employ the stochastic analysis technique. Our results show that the nonlinear worm propagation system may be stabilised by intermittent stochastic perturbation under the parameters of intermittent time linked to stochastic perturbation strength. Our theoretical conclusions may be used to analyse the observable processes of the worm, design countermeasures to prevent its spread, and evaluate the consequences of various system parameters