This paper deals with electrical traffic grooming into optical lightpaths. In the context of a multi-layer EXC/OXC network, electrical traffic grooming aims to optimize resources utilization in terms of required optical channels. It also enables to relax the wavelength continuity constraint. Whereas most of the existing studies are applied either to permanent traffic demands or to dynamic traff...

Conventional approaches for fixed-point implementation of digital signal processing algorithms require the scaling and word-length (WL) optimization in the algorithm level and the high-level synthesis for functional unit sharing in the architecture level. However, the algorithm-level WL optimization has a few limitations because it can neither utilize the functional unit sharing information for...

Monitoring distributed systems is essential in maintaining reliability and correctness of their behaviour. However, ineecient use of resources by monitoring can degrade the performance of the monitored system's components. We are especially interested in strategies to determine conngurations of management agents that allow for distributed data collection, analysis and the dynamic formulation of...

We present a new method for tracking planar surfaces based on the direct update of surface parameters from two stereo images. The plane tracking algorithm is posed as an optimization problem and maintains an iteratively re-weighted least squares guess of the plane’s orientation using direct pixelmeasurements. The algorithm is discussed and analyzed, and an application to augmented reality is pr...

Neuroimaging-based age prediction using machine learning is proposed as a biomarker of brain aging, relating to cognitive performance, health outcomes and progression of neurodegenerative disease. However, even leading age-prediction algorithms contain measurement error, motivating efforts to improve experimental pipelines. T1-weighted MRI is commonly used for age prediction, and the pre-proces...

Variable selection problems are typically addressed under a penalized optimization framework. Nonconvex penalties such as the minimax concave plus (MCP) and smoothly clipped absolute deviation (SCAD), have been demonstrated to have the properties of sparsity practically and theoretically. In this paper we propose a new nonconvex penalty that we call exponential-type penalty. The exponential-typ...