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Enhancing carbohydrate export from source to sink tissues is considered to be a realistic approach for improving photosynthetic efficiency and crop yield. The rice sucrose transporters OsSUT1, OsSWEET11a and OsSWEET14 contribute to sucrose phloem loading and seed filling. Crucially, Xanthomonas oryzae pv. oryzae (Xoo) infection in rice enhances the expression of OsSWEET11a and OsSWEET14 genes, and...
There is a subset of patients in which the fistula upper body and/or outflow veins are chronically occluded. These peripherally occluded (Fig. 29.1), blind-ended AV accesses drain through multiple accessory veins ultimately into the central circulation. An AV access becomes dysfunctional due to lack of straight line outflow which can manifest as, or be associated with prolonged bleeding, high venous...
Over the past years many kind of control techniques are proposed for induction motor drives. Among them DTC has gained more importance due to fast dynamic response and simple control structures. However it has disadvantage of high ripples in torque and slow response because of hysteresis controllers in torque and flux loop at low speed. To improve the performance of DTC (Direct Torque Control) and...
The speed of three phase Induction Motor (IM) drives are controlled with the help of vector control and scalar control. Direct Torque Control (DTC) is advanced scalar control technique for speed control of IM drives. Fast response, dynamic performance and robustness has made DTC very popular. The Conventional DTC drive requires no coordinate transformation and therefore its control algorithm becomes...
In this paper the simulation results of hybrid filter system for non-linear load are presented. The adopted hybrid filter consists of shunt passive filters & shunt active filters. The entire filter is used by filtering higher order harmonics as the dominant harmonics gets filtered by the passive filter. According to Power Quality Standards (IEEE-519), the total harmonic distortion (THD) caused...
Predicting currency exchange rate and handling enormous data with traditional time series analysis has proven to be difficult. An artificial neural network may be more suitable for the task because no assumption about a suitable mathematical model has to be made prior to forecasting and being a stochastic method it can reach the near optimum solution in relatively lesser time. Furthermore, a neural...
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