We consider the design of tapers for coupling power between uniform and slowlight periodic waveguides. We describe new optimization methods for designing robust tapers, which not only perform well under nominal conditions, but also over a given set of parameter variations. When the set of parameter variations models the inevitable variations typical in the manufacture or operation of the couple...

The discrete element method and simulation analysis of the interaction between granular materials implements provide a convenient effective for optimal design farming machinery. However, parameter differences different make impossible to carry out directly. It is necessary obtain specific material parameters contact through calibration object, so as results more reliable. Parameter mainly inclu...

Distributed denial-of-service DDoS flood attacks remain great threats to the Internet. To ensure network usability and reliability, accurate detection of these attacks is critical. Based on Li’s work on DDoS flood attack detection, we propose a DDoS detection method by monitoring the Hurst variation of long-range dependant traffic. Specifically, we use an autoregressive system to estimate the H...

We demonstrate that a measurement of the impact parameter in one-prong τ decay can be useful for the determination of the Higgs boson parity in the H/A → τ+τ−; τ± → ρ±ν̄τ (ντ ) decay chain. We have estimated that for a detection set-up such as TESLA, use of the information from the τ impact parameter can improve the significance of the measurement of the parity of the Standard Model 120 GeV Higg...

In digital CMOS circuits, parametric yield improvement may be achieved by reducing the variability of performance and power consumption of individual cell instances. Such improvement of variation robustness can be attained by evaluating parameter variation impact at gate level. Statistical characterization of logic gates are usually obtained by computationally expensive electrical simulations. ...

in this paper, the concept of conjectural variation (cv) is used to specify optimal generation decision for generation companies (gencos). the conjecture of genco is defined as its belief or expectation about the reaction of rivals to change of its output. using cv method, each genco has to learn and estimate strategic behaviors of other competitors from available historical market operation da...

Direct drives applications are more and more common and rise up the control weakness to parameters variation. New method have been created but are most of time complex to tune and need powerful processor. In this paper, state feedback controllers optimized by Linear Quadratic principle are shown up. These methods achieve cost requirements due to constant gain coefficients. Methods tune criterio...

Buckling analysis of a functionally graded (FG) nanobeam resting on two-parameter elastic foundation is presented based on third-order shear deformation beam theory (TOSDBT). The in-plane displacement of TOSDBT has parabolic variation through the beam thickness. Also, TOSDBT accounts for shear deformation effect and verifies stress-free boundary conditions on upper and lower faces of FG nanobea...