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Quantum correlations in soliton collisions
We study quantum correlations and quantum noise in soliton collisions described by a general two-soliton solution of the nonlinear Schrödinger equation by using the back-propagation method. Our results include the standard case of a sech-shaped initial pulse analyzed earlier. We reveal that double-hump initial pulses can get more squeezed and the squeezing ratio enhancement is due to the long collision period in which the pulses are more stationary. These results offer promising possibilities of using higher-order solitons to generate strongly squeezed states for the quantum information process and quantum computation
Sampling Based Average Classifier Fusion
Classifier fusion is used to combine multiple classification decisions and improve classification performance. While various classifier fusion algorithms have been proposed in literature, average fusion is almost always selected as the baseline for comparison. Little is done on exploring the potential of average fusion and proposing a better baseline. In this paper we empirically investigate the behavior of soft labels and classifiers in average fusion. As a result, we find that; by proper sampling of soft labels and classifiers, the average fusion performance can be evidently improved. This result presents sampling based average fusion as a better baseline; that is, a newly proposed classifier fusion algorithm should at least perform better than this baseline in order to demonstrate its effectiveness
Background
Abstract This work-in-progress paper elaborates on a gradually evolving approach to design of open learning and the design principles used by the Open University of the Netherlands in short open courses -online masterclasses and in Massive Open Online Coursesdelivered in the learning environment of the Open University and in the experimental multilingual MOOC aggregator EMMA as part of a European project. As the paper will demonstrate, these principles can be seen as building blocks of open scalable design of active and engaging learning
Mixed Mortar Element Method for P NC 1 /P 0 Element and Its Multigrid Method for the Incompressible Stokes Problem
We discuss a mortar-type P NC 1 /P 0 element method for the incompressible Stokes problem. We prove the inf-sup condition and obtain the optimal error estimate. Meanwhile, we propose a W-cycle multigrid for solving this discrete problem and prove the optimal convergence of the multigrid method, that is, the convergence rate is independent of the mesh size and mesh level. Finally, numerical experiments are presented to confirm our theoretical results
Business Process Verification with Constraint Temporal Answer Set Programming *
Abstract The paper provides a framework for the verification of business processes, based on an extension of answer set programming (ASP) with temporal logic and constraints. The framework allows to capture expressive fluent annotations as well as data awareness in a uniform way. It allows for a declarative specification of a business process but also for encoding processes specified in conventional workflow languages. Verification of temporal properties of a business process, including verification of compliance to business rules, is performed by bounded model checking techniques in Answer Set Programming, extended with constraint solving for dealing with conditions on numeric data
Graphical User Interface Design for Collaborative Virtual Environments
Abstract-The project aims to study, evaluate, analysis a Collaborative Virtual Environments (CVE's) software also known as Networked Virtual Environments (NVE's), and suggest how to improve the existing user interface by designing an alternative graphical user interface (GUI) for CVE's software. To reduce cost, most current and operative CVE's use the Internet and standard PC to create a visual Virtual Environment (VE), which can be shared by a large number of users. This project discusses CVE's and the importance of using a good GUI for a CVE system
Measurement Uncertainties in Wear Rates
Abstract Measurement uncertainties are vital to discussions of differences in measured values, yet they scarcely accompany discussions of wear and wear rates in the tribology literature. In this methods article, approaches to calculate uncertainties in single-point and steady-state wear rates are presented. The analysis includes analytical treatments of uncertainties for typical macroscopic tribology instrumentation. A fully statistical treatment using Monte Carlo simulations is also presented and discussed for steady-state wear rate uncertainty analysis for an arbitrary number of interrupted measurements of volume loss
AFTER HARVEST QUALITATIVE AND QUANTITATIVE BEHAVIOUR OF SOME SUGAR BEET VARIETIES
ABSTRACT The studies reported here were undertaken at Sugarcane Research Institute Faisalabad during the crop season 2006-2007. Four sugarbeet varieties namely polyrex, polyplus, SD PAK 01/06 and SD PAK 02/06 were compared for weight losses, pol and sugar recovery after harvest while storing under shade and sun conditions for a period of six storage days. Statistically significant difference was recorded in all studied parameters. The maximum pol of samples stored under shade (16.19%) and sun (16.61%) was observed in SD PAK 01/06 and same trend was found in sugar recovery. Polyplus showed minimum weight losses, 10.55% and 11.97%, in sun and shade respectively. The experiment pointed out a direct relation of increasing weight losses with the increase in pol and sugar recovery as well as variable after harvest behaviour of four sugarbeet varieties with respect to three studied parameters