We examine the underlying structure of high resolution temporal rainfall by comparing the observed series with surrogate series generated by a invertible nonlinear transformation of a linear process. We document that the scaling properties and long range magnitude correlations of high resolution temporal rainfall series are inconsistent with an inherently linear model, but are consistent with t...

One of the main purposes of spatio-temporal modeling is to replay and reproduce states at different historical moments. The spatio-temporal data integration is the key to building the model because it exerts a direct influence on the mode and efficiency of querying data in the database. In fact, in the previous study, the author has proposed a time-based spatiotemporal data integration method a...

Magnetic Resonance Imaging (MRI) employs a strong static magnetic field, time changing magnetic fields and RF fields to produce diagnostic images whose grey levels represent the MR signal from hydrogen nuclei in tissue water molecules and hydrocarbon chains (fat). MRI can also been done with MR signals from hydrogen nuclei attached to other molecules, for example, neurotransmitters (Glutamate a...

In this paper, we investigate various methods for solving a time-domain electric field integral equation (TD-EFIE) and a timedomain magnetic field integral equation (TD-MFIE) for analyzing the transient electromagnetic response from three-dimensional (3-D) dielectric bodies. The solution method in this paper is based on the method of moments (MoM) that involves separate spatial and temporal tes...

this paper presents a comparison study between the multilayer perceptron (mlp) and radial basis function (rbf) neural networks with supervised learning and back propagation algorithm to track hand gestures. both networks have two output classes which are hand and face. skin is detected by a regional based algorithm in the image, and then networks are applied on video sequences frame by frame in...

performing a probabilistic study rather than a determinist one is a relatively easy way to quantify the uncertainty in an engineering design. due to the complexity and poor accuracy of the statistical moment methods, the monte carlo simulation (mcs) method is wildly used in an engineering design. in this work, an mcs-based reliability analysis was carried out for the stability of the chain pill...

The fast development of Internet and personal electronic devices has led to a dramatic growth of landmark images available on social media sites such as Flickr. With their informative and attractive content, landmark images have received considerable attention in multimedia research community. Most of existing methods focus on exploring landmark images by their spatial distribution, while large...

A method for synergistic integration of multimodal sensor data is proposed in this paper. This method is based on two aspects of the integration process: (1) achieving synergistic integration of two or more sensory modalities, and (2) fusing the various information streams at particular moments during processing. Inspired by psychophysical experiments, we propose a self-supervised learning meth...

This article focuses on how the economic crisis in Southern Europe has stimulated temporal thought (temporality), whether tilted in the direction of historicizing, presentifying, or futural thought, provoking people to rethink their relationship to time. The argument is developed with particular reference to the ethnographies of living with austerity inside the eurozone contained in this specia...