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Aperture, flexibly defined as common-seen periphery-blocked structures, or special-shaped patterns, or even with artificial-designed complex amplitude modulating function, are inevitably a core factor of optical system that forces the light path deviate from the unconstrained situation. To bridge the gap between the ideal simplified phase modulation system and the real aperture-constrained system, we propose an inverse design algorithm (GOODBAP) which uses cascaded phase holograms to achieve arbitrary intensity distribution behind arbitrary aperture. The algorithm exploits a parallel optimization procedure based on numerical gradient, and the phase patterns on the two holograms are comprehensively updating using algorithmic differentiation. Multiple examples demonstrate that the GOODBAP algorithm can achieve high-fidelity (above 0.98) and high-diffractive-efficiency (above 0.98) intensity distributions behind seemingly unreasonable apertures. Furthermore, we expand the scope of this algorithm to cascaded modulation with more holograms. Also, an application is demonstrated about deceiving multiple cameras behind separate complex coded apertures. We expect that the GOODBAP algorithm can be applied to more practical scenarios of beam modulation, including laser imaging, illumination, annealing, etc. • Novel parallel algorithm for modulating arbitrary distribution behind seemingly unreasonable apertures. • High fidelity (above 0.98) and high diffractive efficiency (above 0.98), with rapid optimization (in 10 seconds). • Also suitable for beyond-double cascaded phase holograms. • Implemented in deceiving multiple cameras behind separate complex coded apertures. [ABSTRACT FROM AUTHOR]

Abstract: A novel self-adaptive differential evolution (SADE) algorithm is proposed in this paper. SADE adjusts the mutation rate F and the crossover rate adaptively, taking account of the different distribution of population. In order to balance an individual’s exploration and exploitation capability for different evolving phases, and are equal to two different self-adjusted nonlinear functions. Attention is concentrated on varying  and  dynamically with each generation evolution. SADE maintains the diversity of population and improves the global convergence ability. It also improves the efficiency and success rate and avoids the premature convergence. Simulation and comparisons based on test-sets of CSPs demonstrate the effectiveness, efficiency and robustness of the proposed algorithm. [Copyright &y& Elsevier]

Increased model complexity and data quantities have raised the computing power requirement for efficient evapotranspiration (ET) estimation. A cloud-based service is presented to encapsulate and publish the ETWatch modeling algorithms as web application programming interfaces (APIs) in a consistent style to provide extensible model calculation service and data storage service in a cloud platform for water managers and stakeholders. The prototype system, named ETWatch Cloud allows users to rapidly and easily set up an ET generation project for any region of interest by invoking APIs directly to produce ET data using a web browser or local integrated development environment. The case study demonstrates that ETWatch Cloud can provide a highly scalable and interoperable ET generation tool for stakeholders from ET community, helping to facilitate the application of remote sensing-based ET algorithms for water management in hydrology sector. • A new high scalability, easy interoperability, cloud-based for ET generation at reginal scale. • Encapsule and publish ETWatch modeling algorithm to web API in a consistent style. • A general solution for the publishing, running and management of modules in the cloud. • Provides stakeholders in the ET community and hydrology sector with an innovative tool. • Generate ET data without additional computing, storage, or algorithm development. [ABSTRACT FROM AUTHOR]