The paper deals with the application of the theory of locally homogeneous and isotropic Gaussian fields (LHIGF) to probabilistic modelling of multivariate data structures. An asymptotic model is also studied, when the correlation function parameter of the Gaussian field tends to infinity. The kriging procedure is developed which presents a simple extrapolator by means of a matrix of degrees of ...

Based on data envelopment analysis model (DEA), this paper constructs a measure function of logistics energy efficiency. Using provincial panel data from 2003 to 2009, it measures logistics energy efficiency in China from perspective of total factor productivity and analyzes the dynamic changes and regional disparity of logistics energy efficiency. The results show that, (1) the average growth ...

The word-based account of saccades drawn by a central gravity of the PVL is supported by two pillars of evidences. The first is the finding of the initial fixation location on a word resembled a normal distribution (Rayner, 1979). The other is the finding of a moderate slope coefficient between the launch site and the landing site (b=0.49, see McConkie, Kerr, Reddix, & Zola, 1988). Four simulat...

1 MercureO2 system MercureO2 is an object oriented information retrieval system based on connectionist approach. It allows the query formulation, the query evaluation based on propagation of the neuron activation and the query modiication based on backpropagation of the user judgements of the document relevance. 1.1 The model The neural information model used in MercureO2 is shown in gure 1. It...

We present a mathematical model of a neural mass developed by a number of people, including Lopes da Silva and Jansen. This model features three interacting populations of cortical neurons and is described by a six-dimensional nonlinear dynamical system. We address some aspects of its behavior through a bifurcation analysis with respect to the input parameter of the system. This leads to a comp...

We use the theory of coupled cell systems to analyze a neuronal network model for generalized rivalry posed by H. Wilson. We focus on the case of rivalry between two patterns and identify conditions under which large networks of n attributes and m intensity levels can reduce to a model consisting of two or three cells depending on whether or not the patterns have any attribute levels in common....

Temperature is a key parameter of the state of the atmosphere. Temperature data play an important role in such fields as atmospheric dynamics, climatology, meteorology, and chemistry, to name just a few. In addition to these direct geophysical applications, the atmospheric temperature profile is necessary as an input parameter to many remote-sensing techniques including lidar for the determinat...

A typical approach to developing an analysis algorithm for analyzing gravitational wave data is to assume a particular waveform and use its characteristics to formulate a detection criteria. Once a detection has been made, the algorithm uses those same characteristics to tease out parameter estimates from a given data set. While an obvious starting point, such an approach is initiated by assumi...

During setting up a mathematical model, it can be very important and difficult task to choose input parameters that should be known for solution of this problem. A similar problem might come up when someone wants to carry out an engineering calculation task. A very essential aim technical education is developing of good logical engineering thinking. One main part of this thinking is to determin...

This paper presents a novel reconfigurable control method for the planar vertical take-off and landing (PVTOL) aircraft with potential actuator failures. A cascade active disturbance rejection controller (ADRC) is used to counteract the adverse effects when the actuator failure occurs. The coordinate transformation is used for model decoupling due to the severe coupling between some variables. ...