Despite its economic importance and recent genome release, the need for molecular tools for Hevea brasiliensis is high. In the frame of a disease resistance study, EST sequences were retrieved from public database or generated by sequencing SSH libraries. Sequences were trimmed and microsatellite motifs searched using an ad hoc bioinformatic pipeline, and pairs of primers for the amplification ...

The high strength carbon steels such as API X65 is widely used to build the pipelines. In this study, the corrosion behavior welds region of the gas pipeline was studied. For this purpose, Shield Metal Arc Welding (SMAW) was used to evaluate the proposed method. The welding processes were performed with E6010, E6013, and ER70S-6 electrodes as filler metal and welding carried out in 3 passes by ...

Seismic-induced pore pressure and effective stresses in the saturated porous seabed under seismic loading are the main factors that govern the overall stability of submarine pipelines. In most of the previous investigations for the seismic-induced dynamic response around a submarine pipeline have been limited to two-dimension cases. In this paper, a three-dimensional finite element model includ...

This paper presents experimental performance results for a parallel pipeline STAP system with I/O task implementation. In our previous work, a parallel pipeline model was designed for radar signal processing applications on parallel computers. Based on this model, we implemented a real STAP application which demonstrated the performance scalability of this model in terms of throughput and laten...

As the front end of intake system, dirty pipe is responsible for delivering sufficient and stable air to filter. Therefore, in order meet requirements low resistance, it necessary correspondingly improve flow resistance performance pipe. In this study, main research object was system gasoline engine vehicles, internal gas field simulated analyzed. The results show that there are clear discrete ...

Abstract In this research, a radial basis function artificial neural network (RBF-ANN) model was developed to predict the hot deformation flow curves of API X65 pipeline steel. The results of the developed model was compared with the results of a new phenomenological model that has recently been developed based on a power function of Zener-Hollomon parameter and a third order polynomial functio...

Abstract The gas transport infrastructure is frequently localized in areas subjected to anthropogenic movements and strains. potential impact of the ground on pipeline aspect its damage can be properly assessed e.g. by predicting strains, taking into account causes terrain movement. On other hand, hazard also related technological factors like design pipeline. presented method based artificial ...

We design a leak detection system consisting of an adaptive Luenbergertype observer based on a set of two coupled one dimensional first order nonlinear hyperbolic partial differential equations governing the flow dynamics. It is assumed that measurements are only available at the inlet and outlet of the pipe, and output injection is applied in the form of boundary conditions. Heuristic update l...