9,002 research outputs found
A phase 1 dose-escalation and expansion study of binimetinib (MEK162), a potent and selective oral MEK1/2 inhibitor
Ninomiya-Victoir scheme: strong convergence, antithetic version and application to multilevel estimators
In this paper, we are interested in the strong convergence properties of the
Ninomiya-Victoir scheme which is known to exhibit weak convergence with order
2. We prove strong convergence with order . This study is aimed at
analysing the use of this scheme either at each level or only at the finest
level of a multilevel Monte Carlo estimator: indeed, the variance of a
multilevel Monte Carlo estimator is related to the strong error between the two
schemes used on the coarse and fine grids at each level. Recently, Giles and
Szpruch proposed a scheme permitting to construct a multilevel Monte Carlo
estimator achieving the optimal complexity for
the precision . In the same spirit, we propose a modified
Ninomiya-Victoir scheme, which may be strongly coupled with order to the
Giles-Szpruch scheme at the finest level of a multilevel Monte Carlo estimator.
Numerical experiments show that this choice improves the efficiency, since the
order of weak convergence of the Ninomiya-Victoir scheme permits to reduce
the number of discretization levels
Asymptotic error distribution for the Ninomiya-Victoir scheme in the commutative case
In a previous work, we proved strong convergence with order of the
Ninomiya-Victoir scheme with time step to the solution of
the limiting SDE when the Brownian vector fields commute. In this paper, we
prove that the normalized error process converges
to an affine SDE with source terms involving the Lie brackets between the
Brownian vector fields and the drift vector field. This result ensures that the
strong convergence rate is actually when the Brownian vector fields
commute, but at least one of them does not commute with the drift vector field.
When all the vector fields commute the limit vanishes. Our result is consistent
with the fact that the Ninomiya-Victoir scheme solves the SDE in this case.Comment: arXiv admin note: text overlap with arXiv:1601.0526
A Radio-fingerprinting-based Vehicle Classification System for Intelligent Traffic Control in Smart Cities
The measurement and provision of precise and upto-date traffic-related key
performance indicators is a key element and crucial factor for intelligent
traffic controls systems in upcoming smart cities. The street network is
considered as a highly-dynamic Cyber Physical System (CPS) where measured
information forms the foundation for dynamic control methods aiming to optimize
the overall system state. Apart from global system parameters like traffic flow
and density, specific data such as velocity of individual vehicles as well as
vehicle type information can be leveraged for highly sophisticated traffic
control methods like dynamic type-specific lane assignments. Consequently,
solutions for acquiring these kinds of information are required and have to
comply with strict requirements ranging from accuracy over cost-efficiency to
privacy preservation. In this paper, we present a system for classifying
vehicles based on their radio-fingerprint. In contrast to other approaches, the
proposed system is able to provide real-time capable and precise vehicle
classification as well as cost-efficient installation and maintenance, privacy
preservation and weather independence. The system performance in terms of
accuracy and resource-efficiency is evaluated in the field using comprehensive
measurements. Using a machine learning based approach, the resulting success
ratio for classifying cars and trucks is above 99%
Associations of ambient coarse particulate matter, nitrogen dioxide, and carbon monoxide with the risk of kidney disease: A cohort study
The 2016 global and national burden of diabetes mellitus attributable to PM2·5 air pollution
Estimates of the 2016 global burden of kidney disease attributable to ambient fine particulate matter air pollution
Long-term kidney outcomes among users of proton pump inhibitors without intervening acute kidney injury
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