Low insertion loss is a critical requirement for some newly emerging applications, such as optical quantum computing. We have demonstrated improved free-space to single-mode fiber coupling via wavefront correction using an adaptive-optic (AO) mirror. By introducing AO correction paired with a three-step optimization algorithm, we have obtained 97.3 ± 0.3% of the Fresnel-reflection-limited mode-...

By considering the energy cost of messages carried by proteins as proportional to their information content we found experimental proof that proteins from all living organisms tend to have their estimated semantic content of information per unit mass, statistically, close to a constant. Thus, in the message carried by proteins −to achieve minimum energy waste− the rate of information content pe...

in this paper, firstly by using a mixed linear programming a new model of locating facilities with limited capacity is presented to design a closed-loop supply chain in a multi-product and multi-period mode. then, using a robust optimization approach, the proposed model decreases in non-deterministic expansion. the results show that the proposed model can handle facility capacity in a closed lo...

A Reliability-Based Design Optimization (RBDO) framework is presented that accounts for stochastic variations in structural parameters and operating conditions. The reliability index calculation is itself an iterative process, potentially employing an optimization technique to find the shortest distance from the origin to the limit-state boundary in a standard normal space. Monte Carlo simulati...

3D wavelet video coding provides an elegant fulldimensional solution for scalable video coding. However, due to the Motion-Compensated Temporal Filtering (MCTF) with open-loop structure and no good rate distortion optimization trade-off between the texture coding and overhead coding of the corresponding mode and motion vectors within narrow bandwidth, its performance is unsatisfactory at low bi...

A nonlinear optimization algorithm for linear predictive speech coding was developed early that not only optimizes the linear model coefficients for the open loop predictor, but does the optimization including the effects of quantization of the transmitted residual. It also simultaneously optimizes the quantization levels used for each speech segment. In this paper, we present an improved metho...

The key ingredients to successful real-time reservoir management, also known as a “closed loop” approach, include efficient optimization and model updating (history matching) algorithms, as well as techniques for efficient uncertainty propagation. This work discusses a simplified implementation of the closed-loop approach that combines efficient optimal control and model updating algorithms for...

In this paper, we propose formulations and algorithms for robust portfolio optimization under both aleatory uncertainty (i.e., natural variability) and epistemic uncertainty (i.e., imprecise probabilistic information) arising from interval data. Epistemic uncertainty is represented using two approaches: (1) moment bounding approach and (2) likelihood-based approach. This paper first proposes a ...