The loss of storage area related to the presence of the diagonal cross-aisles is, also, evaluated, leading to define the profitability regions, best balance between the distance saving and the storage area loss, driving the choice of the most effective number of diagonal cross-aisles to include within the storage system.
The development of the nanomaterials with the advanced functional characteristics is a challenging task because of the growing demand in the market of the optoelectronic devices, biodegradable plastics, and materials for energy saving and energy storage.
In addition to improved dispersibility, surface modification is found to add significant corresponding benefits such as improved flowability, aeratibility or fluidizability and packing densities, leading to potential cost savings in handling and storage.
Similar in spirit to techniques used in photon transport, this method provides respectable accuracy at potentially large savings in time and storage when compared to multigroup diffusion, Sn, or Monte Carlo techniques.
A similar trade-off is achieved using low precision arithmetic, with improvements in computation and communication speed and savings in storage and memory requirements.
It provides a web-based interface that facilitates policy specification, and its evaluation shows good performance, embodying a number of optimizations regarding bandwidth, process and storage savings.
In frequency-domain, considering the saving of storage and CPU time, we integrate the idea of physical parameter-modified staggered-grid approach in time-domain with an elastic optimal mixed-grid modeling scheme to design an improved parameter-modified free-surface expression.
The response curves of the original non-reduced model are readily recovered, resulting in much faster computation, and, therefore, savings in storage and computational effort.
The proposed technique shows an impressive 98% saving in computing time and 75% saving in storage space for the case study problem.
