RDF Stream Processing (RSP) bridges the gap between semantic technologies and data stream systems. Although a number of RSP systems have been recently proposed, no RDF streams are actually made publicly available on the Web. To cope with this, RSP engines require ad-hoc wrappers in order to be fed from non-RDF streams available on the Internet. In this paper we present TripleWave: an approach f...

We have experimentally implemented remote state preparation (RSP) of a qubit from a hydrogen to a carbon nucleus in molecules of carbon-13 labeled chloroform CHCl3 over interatomic distances using liquid-state nuclear magnetic resonance (NMR) technique. Full RSP of a special ensemble of qubits, i.e., a qubit chosen from equatorial and polar great circles on a Bloch sphere with Pati’s scheme, wa...

PURPOSE To design an anthropomorphic pediatric spine phantom for use in the evaluation of proton therapy facilities for clinical trial participation by the Imaging and Radiation Oncology Core (IROC) Houston QA Center (formerly RPC). METHODS This phantom was designed to perform an end-to-end audit of the proton spine treatment process, including simulation, dose calculation by the treatment pl...

The survey propagation (SP) algorithm has been shown to work well on large instances of the random 3-SAT problem near its phase transition. It was shown that SP estimates marginals over covers, using joker states to represent clusters of configurations. The SP-y algorithm generalizes SP to work on the Max-SAT problem, but the cover interpretation of SP does not generalize to SP-y. Recently, a r...

The survey propagation (SP) algorithm has been shown to work well on large instances of the random 3-SAT problem near its phase transition. It was shown that SP estimates marginals over covers that represent clusters of solutions. The SP-y algorithm generalizes SP to work on the maximum satisfiability (Max-SAT) problem, but the cover interpretation of SP does not generalize to SP-y. In this pap...

Big data sets must be carefully partitioned into statistically similar data subsets that can be used as representative samples for big data analysis tasks. In this paper, we propose the random sample partition (RSP) to represent a big data set as a set of non-overlapping data subsets, i.e. RSP data blocks, where each RSP data block has the same probability distribution with the whole big data s...

This paper studies the problem of signal-quality-guaranteed lightpath provisioning in survivable translucent optical networks under dynamic traffic. A new protection scheme, called regeneration-segment protection (RSP), is proposed. Provisioning approaches with shared path protection and shared RSP are presented. Two main signal quality constraints are integrated with the provisioning problem. ...

The benchmarking of window-based RDF Stream Processing (RSP) engines has recently attracted the attention of the Stream Reasoning community. Solutions like LSBench, SRBench and CSRBench tried to fulfill the need of shared practices for RSP engine evaluations. However, an infrastructure for the systematic comparison of existing systems is still missing. In this paper, we propose the requirements...

Rotating Shadowband Pyranometers (RSPs) have been deployed to measure global, beam, and diffuse irradiance because they do not require manual adjustment of trackers. However, a RSP requires the use of solar cell based pyranometers which underestimate diffuse irradiance by 20-30% under clear sky conditions. Algorithms were derived to address many of the systematic errors in solar cell based meas...

This paper presents remote store programming (RSP). This paradigm combines usability and efficiency through the exploitation of a simple hardware mechanism, the remote store, which can easily be added to existing multicores. Remote store programs are marked by fine-grained and one-sided communication which results in a stream of data flowing from the registers of a sending process to the cache ...