modelling of crack propagation by finite element method under mixed mode conditions is of prime importance in fracture mechanics. this paper describes an application of finite element method to the analysis of mixed mode crack growth in linear elastic fracture mechanics. crack growth process is simulated by an incremental crack-extension analysis based on the maximum principal stress criterion,...

In order to assist companies dealing with data preparation problems, different approaches are developed to handle the dirty data. However, these firms are not able to predict the final outcome from the customer data, before running all the business process. This gives rise to an extra cost for the company at the end, if the data is highly corrupted. Therefore, in this paper; we propose a framew...

Synthetic aperture radar (SAR) data from RADARSAT-1 are an important operational data source for several ice centres around the world. Sea ice monitoring has been the most successful real-time operational application for RADARSAT-1 data. These data are used by several national ice services as a mainstay of their programs. Most recently, Canadian Ice Service launched another new real-time operat...

Searching for a better data model would continue unless a satisfaction was reached. Improving the productivity and quality of developing traditional and emerging database applications is the motivation driving the research activities. This abstract is to introduce the approach of a data model EP data model. Its data structure is able to store as a finite set of nodes arbitrary effectively compu...

The QuPARA Risk Analysis Framework [18] is an analytical framework implemented using MapReduce and designed to answer a wide variety of complex risk analysis queries on massive portfolios of catastrophic risk contracts. In this paper, we present data structure improvements that greatly accelerate QuPARA’s computation of Exceedance Probability (EP) curves with secondary uncertainty.

We consider the problem of training-based code-timing estimation for the asynchronous direct-sequence code-division multipleaccess (DS-CDMA) system. We propose a modified large-sample maximum-likelihood (MLSML) estimator that can be used for the code-timing estimation for the DS-CDMA systems over the resolvable multipath channels in closed form. Simulation results show that MLSML can be used to...

In this paper we address the issue of how form and motion can be integrated in order to provide suitable information to attentively track multiple moving objects. Such integration is designed in a Bayesian framework, and a Belief Propagation technique is exploited to perform coherent form/motion labelling of regions of the observed scene. Experiments on both synthetic and real data are presente...

In this work we introduce a novel metric for characterizing the double-directional propagation environment and use this metric to assess the performance of a SAGE parameter estimator for MIMO channels. Using the IlmProp, a geometry-based MIMO channel modeling tool, we construct synthetic channels for three different scenarios showing: (i) well separated clusters containing dense propagation pat...

In this article, a dynamic localization method based on multi-target tracking is presented. The originality of this method is its capability to manage and propagate uncertainties during the localization process. This multi-level uncertainty propagation stage is based on the use of the Dempster–Shafer theory. The perception system we use is composed of an omnidirectional vision system and a pano...