The importance of controlling grain boundary (GB) segregation is increasing, especially with the strengthening steel nowadays. In this study, a theoretical prediction method for amount GB solute element in polycrystals established. This entails development nano-polycrystalline model simulating GBs polycrystals, and energy comprehensively calculated all atomic sites constituting by using an inte...

A multi-phase field model for quantitative simulations of polycrystalline solidification of binary alloys is introduced. During the freegrowth stage of solidification, the model exploits the thin-interface analysis developed by Karma [3] in order to realistically capture bulk phase diffusion and the sharp interface corrections predicted by traditional models of solidification. During grain boun...

In this paper we present the different modelling problems which a Digital Signal Processing (DSP) application designer has to tackle while refining an abstract specification relying on coarse grain data (e.g. matrices) toward a hardware implementation model relying on fine grain data (e.g. scalar). To address this problematic, we propose a modelling framework which can be used to refine an algo...

Although the nitrogen nutrition index (NNI) is a widely used indicator of plant nitrogenstatus, no model of NNI calculation for spring barley (Hordeum vulgare) reflecting also specificmalting requirements on grain has been published. The aim of this study was to determinean optimal range of the nitrogen nutrition index (ratio of nitrogen concentration in shootbiomass to critical nitrogen concen...

Assessing the disruption and resilience of the agricultural grain supply chain is critical to ensure grain supply and stabilize grain price in the final market. This research proposes a quantitative model to analyze how a grain processor regains robustness when supply is disrupted by a natural disaster upstream, and how this disruption affects grain retailers downstream. Two supply chain recove...

This paper presents a data hiding technique based on a new compression enhancement called Film Grain Technology. Film grain is a midfrequency noise-like pattern naturally appearing in imagery captured on film. The Film Grain Technology is a method for modeling and removing the film grain, thus enhancing the compression efficiency, and then using the model parameters to create synthetic film gra...

Simulating grain (Ng) and straw (Ns) nitrogen (N) concentration is of paramount importance in cropping systems simulation models. In this paper we present a simple model to partition N between grain and straw at harvest for barley (Hordeum vulgare L.), wheat (Triticum aestivum L.), maize (Zea mays L.), and sorghum (Sorghum bicolor Moench). The principle of the model is to partition the abovegro...

As foreseen by Richard Feynman in his famous talk titled There's Plenty of Room at the Bottom in 1959, scientists nowadays are miniaturizing structures in materials to achieve better performance as concerned in technical applications. Reducing grain sizes in polycrystalline materials into the range of less than 100nm, for example, could achieve extraordinary high strength in these so called nan...

A three-dimensional cellular automata (CA) with rectilinear layout is used in this work to create and cleave polycrystalline microstructures. Each crystal is defined by a unique randomly generated orientation tensor. Separate states for grains, grain boundaries, crack flanks and crack fronts are created. Algorithms for progressive cleavage propagation through crystals and across grain boundarie...

A supervised feature selection algorithm was applied to determine the most important features contributing to wheat grain yield. Four hundreds seventy two fields (as records) from different parts of Iran which were different in 21 characteristics (features) were selected for feature selection analysis. Selection of the wide range of features, including location, genotype, irrigation regime, fer...