In the Runtime Infrastructure (RTI) of High Level Architecture (HLA), the purpose of Data Distribution Management (DDM) services is to reduce the amount of irrelevant data sent (communicated) between federates (simulations) and cut network communication cost. The current DDM schemes employed in RTI, i.e. region-based DDM and grid-based DDM, are both oriented to send as little irrelevant data to...

Objective. To evaluate the effect of Kikuyu grass (Pennisetum clandestinum) harvested at two different ages and three forage: concentrate supplement ratios (F/C) on methane (CH4) production, dry matter digestibility (DMD), and fermentation profile using the in vitro gas production technique. Materials and methods. six treatments, resulting from the combination of pasture age (30 or 60 days) and...

We analyzed 136 time series (covering from 44 to 73 yr) of juvenile cod to estimate the level of direct and delayed density-dependent mortality (DDM) of 11 populations from the Norwegian Skagerrak coast. The parameters were estimated using a modeling approach that explicitly incorporates observation errors, so that we could quantify the density-independent (stochastic) variation in the survival...

Blackleg of canola is the most important disease of canola/rapeseed worldwide. Efforts are made to understand the host-pathogen interaction by studying the interaction between resistance genes of the host and the avirulence genes of the pathogen. Previous studies showed that two double haploid canola (Brassica napus L.) lines, ddm-12-65-1 and ddm-12-65-2, possess a novel resistance gene (LepR1)...

We introduce a dynamic directional model (DDM) for studying brain effective connectivity based on intracranial electrocorticographic (ECoG) time series. The DDM consists of two parts: a set of differential equations describing neuronal activity of brain components (state equations), and observation equations linking the underlying neuronal states to observed data. When applied to functional MRI...

BACKGROUND The dermoscopic diagnosis of cutaneous melanoma (CM) may be difficult because some CM lack specific dermoscopic features for melanoma diagnosis. OBJECTIVE To evaluate whether a diagnosis of CM could be achieved using the classic dermoscopic melanoma-specific criteria, we conducted a retrospective multicenter study of 508 CM samples. METHODS All the dermoscopic images were analyze...

The computing-intensive data mining for inherently Internet-wide distributed data, referred as Distributed Data Mining (DDM), calls for the support of a powerful Grid with an effective scheduling framework. DDM often shares the computing paradigm of local processing and global synthesizing. It involves every phase of Data Mining (DM) processes, which makes the workflow of DDM very complex and c...

This paper introduces a distributed data mining approach suited to grid computing environments based on a supervised learning classifier system. Different methods of merging data mining models generated at different distributed sites are explored. Centralized Data Mining (CDM) is a conventional method of data mining in distributed data. In CDM, data that is stored in distributed locations have ...

This paper describes a new approach which allows the realization of both low-power and high storage capacity ROMs in GaAs. In this technique, called DDM (Divided Decoder Matrix), low-power operation is obtained by powering down the parts which are not situated in the addressing path, while high-storage capability is obtained by limiting the leakage currents in the ROM matrix. As an application ...

In previous papers we have presented a very accurate model that handles the generation and propagation of glitches, which makes an important headway in logic timing simulation. This model is called Delay Degradation Model (DDM). Characterizing DDM completely also implies the characterization of the normal propagation delay. In this paper, we propose a simple heuristic model that includes its de...