In order to investigate the high volume fraction problem of the solid phase in superfine unclassified backfilling pipeline transportation, characteristic parameters were obtained by fitting to test data with an R–R particle size distribution function; then, a Euler dense-phase DPM (Discrete phase model) model was established by applying solid–liquid two-phase flow theory and the kinetic theory ...

This work introduces an extension to Genetic Programming (GP), known as “GP-UDF” which uses multiple User-Defined Functions (UDFs) to solve surface mapping problems. UDFs are high level primitives, such as polynomials and Gaussian hills, which simplify mapping and aid human interpretation of GP results. Preliminary results show that although UDFs do not improve GP accuracy, they may aid in “lan...

Query optimizers in object-relational database management systems require users to provide the execution cost models of user-defined functions(UDFs). Despite this need, however, there has been little work done to provide such a model. Furthermore, none of the existing work is self-tuning and, therefore, cannot adapt to changing UDF execution patterns. This paper addresses this problem by introd...

Cloud computing has demonstrated that processing very large datasets over commodity clusters can be done simply, given the right programming model and infrastructure. In this paper, we describe the design and implementation of the Sector storage cloud and the Sphere compute cloud. By contrast with the existing storage and compute clouds, Sector can manage data not only within a data centre, but...

The effect of γ-Al2O3 nanoparticles on heat transfer rate, baffle spacing and pressure drop in the shell side of small shell and tube heat exchangers was investigated numerically under turbulent regime. γ-Al2O3-water nanofluids and pure water were used in the shell side and the tube side of heat exchangers, respectively. Since the properties of γ-Al2O3-water nanofluids were variable, they were ...

There is a growing demand for application of personalized bone implants (endoprostheses or macro-scaffolds, and fixators) which conform the anatomy patient. Hence need CAD procedure that enables fast sufficiently accurate digital reconstruction traumatized geometry. Research presented in this paper addresses femoral neck fracture. The results point out User-Defined (geometric) Feature (UDF) con...

We present a new approach to modeling the execution costs of user-defined functions (UDFs) for the query optimizer of an object-relational DBMS (ORDBMS). Our approach self-tunes a cost model incrementally based on the costs of the recent executions of a UDF. The approach is centered on a feedback loop in which the feedback information comprises individual UDF execution records. Each execution r...

Recent years have seen an increased interest in large-scale analytical dataflows on non-relational data. These dataflows are compiled into execution graphs scheduled on large compute clusters. In many novel application areas the predominant building blocks of such dataflows are user-defined predicates or functions (Udfs). However, the heavy use of Udfs is not well taken into account for dataflo...

Abstract To study the distribution characteristics of muzzle flow field underwater sealed launch in different environments, a two-dimensional axisymmetric multiphase numerical model was established. The VOF model, Standard k-ε turbulence user-defined function (UDF), and dynamic mesh technology are used to simulate evolution process air launch. calculation results show that is significantly from...

We determine the abundance of i-band drop-outs in the recently-released HST/ACS Hubble Ultra Deep Field (UDF). Since the majority of these sources are likely to be z ≈ 6 galaxies whose flux decrement between the F775W i-band and F850LP zband arises from Lyman-alpha absorption, the number of detected candidates provides a valuable upper limit to the unextincted star formation rate at this redshi...