Abstract:
Data can be transferred between computers at remote sites by transferring the data itself, or by transferring files showing how data at an originating site can be recreated from data already present at a receiving site. As part of the data transfer, a determination can be made as to what is the most appropriate way for the transfer to take place. Further, in cases where data is not transferred directly between originating and receiving sites, it is possible that some preparatory steps might be performed to improve the efficiency of the transfers to the receiving sites when they do take place. Additional efficiencies can be obtained in some cases by using the parallel processing capabilities provided by a cloud based architecture.
Abstract:
A tufted carpet for use in automotive applications is comprised of a pile layer and at least a primary backing layer. The pile layer has a pile weight and is comprised of a bulked continuous filament (BCF) yarn comprised of a predetermined number of filaments that are of a predetermined diameter. The carpet is tufted at a predetermined gauge. The BCF yarn is consisting of a polypropylene (PP) yarn with a tenacity between 2.6 cN/dtex (centinewton per decitex) and 3.2 cN/dtex at an elongation of 50 % to 70%, or polyethylene terephthalate (PET) with a tenacity between 2.6 cN/dtex to 3.4 cN/dtex at an elongation of 20 % to 40%.
Abstract:
Data can be transferred between computers at remote sites by transferring the data itself, or by transferring files showing how data at an originating site can be recreated from data already present at a receiving site. As part of the data transfer, a determination can be made as to what is the most appropriate way for the transfer to take place. Further, in cases where data is not transferred directly between originating and receiving sites, it is possible that some preparatory steps might be performed to improve the efficiency of the transfers to the receiving sites when they do take place. Additional efficiencies can be obtained in some cases by using the parallel processing capabilities provided by a cloud based architecture.