Method and system for the creation of an h-spline based data structure, data storage, and data representation
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Wafer bonding using parylene-C to Si, SiO2 and SiN surfaces has recently been shown to enable high pressure-resistant microfluidic devices with metallization and CMOS-integration capability. Here, we report characterization of intermediate parylene-C bondi ...
The placement of replicas across storage nodes in a replication-based storage system is known to affect rebuild times and therefore system reliability. Earlier work has shown that, for a replication factor of two, the reliability is essentially unaffected ...
For further miniaturization of magnetic data storage devices, instruments for exploring magnetic nanostructures are needed. Hall sensors provide a non invasive technique for quantitative magnetic field detection. In contrast to the highly sensitive semicon ...
A fundamental requirement of quantitative palaeoecology is consistent taxonomy between a modern training set and palaeoecological data. In this study we assess the possible consequences of violation of this requirement by simulating taxonomic errors in tes ...
Magnetic nanostructures have long been in the focus of intense research in the magnetic storage industry. For data storage the nonvolatility of magnetic states is of utmost relevance. As information technology generates the need for higher and higher data- ...
Lens-based optical microscopy failed to discern fluorescent features closer than 200 nm for decades, but the recent breaking of the diffraction resolution barrier by sequentially switching the fluorescence capability of adjacent features on and off is maki ...
SpiderCrane is a three-dimensional crane, whose main particularity lies in the absence of large inertial moving parts. This paper presents experimental results obtained with the novel jet-scheduling control methodology that is based on differential flatnes ...
Dynamic Programming OPtimization (DPOP) is an algorithm proposed for solving distributed constraint optimization problems. In this algorithm, Hypercubes are used as the format of the messages exchanged between the agents. Then, Hybrid-DPOP (H-DPOP), a hybr ...
In an earlier study it was proven and experimentally confirmed on a 2D Euler code that fixed point iterations can be differentiated to yield first and second order derivatives of implicit functions that are defined by state equations. It was also asserted ...
Dynamic Programming Optimization (DPOP) is an algorithm proposed to solve distributed constraint optimization problems. In order to represent the multi-values functions manipulated in this algorithm, a data structure called Hypercube was implemented. A mor ...