nineteen irrigated farms of canola from six cities of khorasan selected to assess the seedling emergence one month after sowing in 2009. soil texture of each farm determined using the hydrometer method. the results showed that weather conditions of sowing areas had no significant effect on emergence of oilseed rape. with increasing the temperature (within the range of 19.5 to 21.5 ˚c) emergence...

We report on the manufacture of a first batch of approximately 2,000 Gas Electron Multipliers (GEMs) using 3M’s fully automated roll to roll flexible circuit production line. This process allows low-cost, reproducible fabrication of a high volume of GEMs of dimensions up to 30×30 cm. First tests indicate that the resulting GEMs have optimal properties as radiation detectors. Production techniqu...

This paper describes a new gain scheduling algorithm for handeling the problem of hard nonlinearities like input rate and magnitude saturations. The proposed algorithm was originally designed for stabilization of integrator chains with input rate saturation. Here it is shown that the gain scheduler also is eeective for rudder roll control systems. The approach is to reduce the controller gains ...

in this paper, the effects of roll center height of mcpherson suspension mechanism on dynamic behaviour of a vehicle is studied first and then the optimum location of roll center of this suspension system is determined for a conceptual class a vehicle. adams/car software was used for analysis of vehicle dynamic behaviour in different positions of suspension roll center, then optimization proces...

In this paper, we study N-policy for a finite population Bernoulli feedback queueing model for machine repair problem with degraded failure. The running times of the machines between breakdowns have an exponential distribution. The repair times of the machines are independent and identically distributed random variables. If at any time a machine fails, it is sent to the repairman for repairing,...

Poor (even random) starting points for learning/training/optimization are common in machine learning. In many settings, the method of Robbins and Monro (online stochastic gradient descent) is known to be optimal for good starting points, but may not be optimal for poor starting points — indeed, for poor starting points Nesterov acceleration can help during the initial iterations, even though Ne...