Topography is a significant factor influencing the spatial distribution of precipitation. This study developed a new methodology to evaluate and calibrate the Tropical Rainfall Measuring Mission Multi-satellite Precipitation Analysis (TMPA) products by merging geographic and topographic information. In the proposed method, firstly, the consistency rule was introduced to evaluate the fitness of ...

BACKGROUND Contrast-enhanced ultrasound is a dynamic and continuous modality providing real-time view of vascularization and flow distribution patterns of different organs and tumors. In order to evaluate the diagnostic significance of intraoperative contrast-enhanced ultrasound in assessing the resection degree of brain glioma by transmission electron microscopic (TEM) examination, it is impor...

In many Internet scale replicated system, not all replicas can be dealt with in the same way, since some will be in greater demand than others. In the case of weak consistency algorithms, we have observed that updating first replicas having most demand, a greater number of clients would gain access to updated content in a shorter period of time. In this work we have investigated the benefits th...

The goal of this paper is to indicate how the mechanisms already available in standard Distributed Shared Memory (DSM) systems can be efficiently used to reduce the cost of fault-tolerance. It can be achieved by using DSM replication mechanism for recovery and integration of both recovery and memory coherence protocols. We analyze recently developed techniques of recovery for DSM systems which ...

Distributed Shared Memory (DSM) is an abstraction for shared memory on a system where the memory is physically distributed which allows programmers to take advantage of the increased processing power provided by a Clusters of Workstations (COW). We have integrated DSM into the RHODOS operating system rather than to put this paradigm on top of an operating system, as have other researchers. RHOD...

We show that all consistent learning methods—i.e., that asymptotically achieve the lowest possible expected loss for any distribution on (X,Y )—are necessarily localizable, by which we mean that they do not significantly change their response at a particular point when we show them only the part of the training set that is close to that point. This is true in particular for methods that appear ...

Interval constraint solvers use local consistencies— among which one worth mentioning is box consistency— for computing verified solutions of real constraint systems. Though among the most efficient ones, the algorithm for enforcing box consistency suffers from the use of timeconsuming operators. This paper first introduces boxφ consistency, a weakening of box consistency; this new notion then ...

Differences among bulls in maturity rate of their daughters for milk yield were investigated. Milk records for US Holsteins with first-parity calving dates between 1960 and 1998 were used to calculate 3 evaluations for bulls based on daughter records from parity 1, parities 1 and 2, and parities 1, 2, and 3. The 3 evaluations were used to estimate parity-specific evaluations for parities 2 and ...

Distribution entropy (DistEn) is a recently developed measure of complexity that is used to analyse heart rate variability (HRV) data. Its calculation requires two input parameters-the embedding dimension m, and the number of bins M which replaces the tolerance parameter r that is used by the existing approximation entropy (ApEn) and sample entropy (SampEn) measures. The performance of DistEn c...