Four types of global error for initial value problems are considered in a common framework. They include classical forward error analysis and shadowing error analysis together with extensions of both to rescaling of time. To determine the amplification of the local error that bounds the global error we present a linear analysis similar in spirit to condition number estimation for linear systems...

The performance of code delay and carrier phase estimation of a GNSS signal propagated in an urban or indoor environment is highly degraded by multipath when the conventional multipath mitigation techniques such as narrow correlator and double delta correlator are applied. These conventional techniques rely on the value of the delay corresponding to the peak of the autocorrelation function. In ...

Hierarchical classification (HC) is a popular and efficient way for detecting the semantic concepts from the images. The conventional method always selects the branch with the highest classification response. This branch selection strategy has a risk of propagating classification errors from higher levels of the hierarchy to the lower levels. We argue that the local strategy is too arbitrary, b...

Diagnostic errors are a major patient safety concern. Although the majority of diagnostic errors are partially attributable to cognitive mistakes, the most effective means of improving clinician cognition in order to achieve gains in diagnostic reliability are unclear. We propose a tripartite educational agenda for improving diagnostic performance among students, residents and practising physic...

The work was supported by OTKA fund T68256. Abstract—A new species reduction method called the Simulation Error Minimization Connectivity Method (SEMCM) was developed. According to the SEM-CM algorithm, a mechanism building procedure is started from the important species. Strongly connected sets of species, identified on the basis of the normalized Jacobian, are added and several consistent mec...

The aim of Multidimensional Scaling (MDS) is to search for a geometrical pattern of n points, on the basis of experimental dissimilarities data between these points. For nonmetric MDS, one may use ordinal data as dissimilarities. In general, as these dissimilarities are empirical, they may be errorful. Thus, in order to obtain better scaling solutions, it is of great interest to reduce error in...

In this paper, a method of reducing the tracking error in CNC machining is proposed. The structured neural network is used to approximate the discontinuous friction in CNC machining, which has jump points and uncertainties. With the estimated nonlinear friction function, the reshaped trajectory can be computed from the desired one by solving a second order ODE such that when the reshaped trajec...

Decomposition of the electromyographic (EMG) signal into constituent action potentials and the identification of individual firing instances of each motor unit in the presence of ambient noise are inherently probabilistic processes, whether performed manually or with automated algorithms. Consequently, they are subject to errors. We set out to classify and reduce these errors by analyzing 1,061...

This article outlines an approach to improve patient safety in obstetrics and gynecology, with the goal to reduce errors in labor and delivery. Every institution should create guidelines and provide education and training to address potential safety issues such as fetal heart rate pattern interpretation, induction and stimulation of labor, vaginal birth after cesarean, magnesium sulfate, should...