OS resource management policies traditionally employ buffering to “smooth out” fluctuations in resource demand. By minimizing the length of idle periods and the level of contention during non-idle periods, such smoothing tends to maximize overall throughput and minimize the latency of individual requests. For certain important devices, however (disks, network interfaces, or even computational e...

We propose "score-type" tests for the proportional hazards assumption and for covariate effects in the Cox model using the natural smoothing spline representation of the corresponding nonparametric functions of time or covariate. The tests are based on the penalized partial likelihood and are derived by viewing the inverse of the smoothing parameter as a variance component and testing an equiva...

In this paper we formulate the problem of multiuser power control for digital subscriber lines (DSL) as a nonlinear complementarity problem (NCP). We study conditions under which the resulting NCP belongs to the class P0 and its solution is B-regular. The NCP formulation makes it possible to use the Newton type smoothing methods to efficiently compute a Nash equilibrium solution. In our compute...

This paper uses a stochastic dynamic programming model to explore savings and portfolio decisions in an environment in which both yield risk and endogenous asset-price risk exist, and a subsistence constraint creates an inter-temporal link between current consumption and future labor power. Numerical analysis of the model shows that optimal portfolio strategies bifurcate. Initially wealthier ag...

We consider the problem of choosing the data flow rate on a wireless link with randomly varying channel gain, to optimally trade off average transmit power and the average utility of the smoothed data flow rate. The smoothing allows us to model the demands of an application that can tolerate variations in flow over a certain time interval; we will see that this smoothing leads to a substantiall...

This paper presents robust speech enhancement using noise estimation based on smoothing of spectral noise floor (SNF) for nonstationary noise environments. The spectral gain function is obtained by well-known log-spectral amplitude (LSA) estimation criterion associated with the speech presence uncertainty. The noise estimate is given by averaging actual spectral power values, using a smoothing ...

A camera is often the main sensor of autonomous robots. As those embedded platforms offer minor computing power only, it is a challenge to provide a fast and robust image processing. This paper describes a new real-time structure preserving noise reduction operator based on the so-called SUSAN filtering approach. We use a correlation function to determine which part of a pixel’s neighborhood ha...

A dimension reduction-based adaptive-to-model test is proposed for significance of a subset of covariates in the context of a nonparametric regression model. Unlike existing local smoothing significance tests, the new test behaves like a local smoothing test as if the number of covariates were just that under the null hypothesis and it can detect local alternatives distinct from the null at the...

The paper presents a Jacobian smoothing nonlinear complementarity method for solving large nonlinear optimal power flow (OPF) problems. By using (smooth or non-smooth) nonlinear complementarity (NC) functions we reformulate the OPF problem as a (smooth or non-smooth) nonlinear system of equations, which, in turn, can be solved by well-known methods. The Jacobian smoothing method computes the se...

Penalized splines have gained much popularity as a flexible tool for smoothing and semi-parametric models. Two approaches have been advocated: 1) use a B-spline basis, equally-spaced knots and difference penalties (Eilers and Marx, 1996) and 2) use truncated power functions, knots based on quantiles of the independent variable and a ridge penalty (Ruppert, Wand and Carroll, 2003). We compare th...