In this paper, we shall discuss an extension of MTDM model for image retrieval based on user's specification. A MTDM model is composed of objects which describes the static and the matching cont,rol methods for recognition targets. Characteristics of the describing targets are declared by abst,ract members of the MTDM model objects. In t,his way, the differences of data description can be casil...

The Data Transfer Kit (DTK) is a software library designed to provide parallel data transfer services for arbitrary physics components based on the concept of geometric rendezvous. The rendezvous algorithm provides a means to geometrically correlate two geometric domains that may be arbitrarily decomposed in a parallel simulation. By repartitioning both domains such that they have the same geom...

heat transfer phenomena in batch fluidized bed dryer have been studied and analyzed using three phase model including solid phase, interstitial gas phase and bubble phase based on rizzi model. new correlations of heat transfer coefficient to surrounding and convection heat transfer coefficient between solid and interstitial gas are being proposed. in addition, some modifications have been done ...

Two-phase heat transfer is experimentally examined through vertical small diameter tubes, D =1.45 and 2.8 mm using water under a pressure of 50 to 81 kPa and a natural circulation condition. The pool boiling correlation by Stephan-Abdelsalam and the thermosyphon boiling correlation by Imura, et al. predict the measured experimental data in the 2.8 mm tube with an error of -30%. A large heat tra...

nucleate pool boiling heat transfer coefficient have been experimentally measured on a horizontal rod heater for various liquid binary mixtures. measurements are based on more than three hundred data points on a wide range of concentrations and heat fluxes. in this investigation, it has been confirmed that the heat transfer coefficient in boiling solutions are regularly less than those in pure ...

For the efficient analysis of geo-distributed datasets, cloud providers implement data-parallel jobs across sites (e.g., datacenters and edge clusters), which are generally interconnected by wide-area network links. However, current state-of-the-art data analytic methods fail to make full use available computing resources. The main reason is that such must wait for bottleneck complete correspon...