Modern cloud infrastructures are geo-distributed. Geodistribution offers many advantages but can increase the total cloud capacity required. To achieve low latency, geo-distribution forfeits statistical multiplexing of demand that a single data center could benefit from. Geo-distribution also complicates software design due to storage consistency issues. On the other hand, geodistribution can l...

the present paper aims to examine one of the technically-based approaches in the field of urban planning and urban management which started about two decades ago, and has been tested in iran over the past decade with some scientific and executive prudence. in this paper, the clue_s model, one of the models for land use changes process simulation, is used to examine its efficiency in urbanizatio...

The main role of map is confined to representation of various kind of decision schemas and appraisal results. But it almost does no good to the understanding and definition of problems. Concept map is a method supporting for knowledge construction and sharing. We can construct knowledge effectively by concept map, organize knowledge from different experts and users using concept entities and re...

To create public use files from large scale surveys, statistical agencies sometimes release random subsamples of the original records. Random subsampling reduces file sizes for secondary data analysts and reduces risks of unintended disclosures of survey participants’ confidential information. However, subsampling does not eliminate risks, so that alteration of the data is needed before dissemi...

-Procedures to estimate missing data, determine extrema, and derive uncertainties for data collected in ambient air monitoring networks are presented. The optimal linear estimators used obtain unbiased, minimum variance results based on the temporal and spatial correlation of the data and estimates of sample uncertainty. The first estimator interpolates missing data. The second estimator derive...

Imputation methods are popular for the handling of missing data in psychology. The methods generally consist of predicting missing data based on observed data, yielding a complete dataset that is amiable to standard statistical analyses. In the context of Bayesian factor analysis, this paper compares imputation under an unrestricted multivariate normal model (Multiple Imputation) to imputation ...

Many imputation methods are based on statistical models that assume that the variable of interest is a noisy observation of a function of the auxiliary variables or covariates. Misspecification of this model may lead to severe errors in estimates and to misleading conclusions. A new imputation method for item nonresponse in surveys is proposed based on a nonparametric estimation of the function...

254 INTRODUCTION The detection, classification, and geo-location of ground-based signal sources is one of the primary missions of modern military surveillance aircraft. Example signals of interest are the search radar of an enemy missile site, the radio communications between enemy combatants, and the distress radio beacon being transmitted by a downed friendly pilot. The ability to locate such...

In this study we describe a simulation platform used to create a virtual society of Poland, with a particular emphasis on contact patterns arising from daily commuting to schools or workplaces. In order to reproduce the map of contacts, we are using a geo-referenced Agent Based Model. Within this framework, we propose a set of different stochastic algorithms, utilizing available aggregated cens...