Exact(6)
Fine-grain fabrics (e.g. FPGAs) have traditionally suffered from performance and power inefficiencies due to bit-level reconfigurable abstractions.
Printed fabrics differ from non-planar fabrics (e.g., embroidery) in their rich colours, various patterns and low costs.
The combination of general purpose processors and reconfigurable fabrics (e.g., FPGAs), may provide those valuable characteristics, which are becoming essential for modern and future embedded systems.
Recently, the use of cellulosic fibre fabrics and their fabric reinforced polymer composites as reinforcement materials within and/or outside of construction materials (e.g. concrete) has gained popularity due to their inexpensive cost and favourable specific mechanical properties compared with synthetic fibre fabrics (e.g. E-glass).
Anisotropy of magnetic susceptibility (AMS) has been used extensively for determining mineral orientation fabrics (e.g., Hrouda 1982; Tarling and Hrouda 1993).
This means when the mean values of plain and twill fabrics were compared, overall the twill fabrics took longer to reach a predicted second-degree burn compared with the plain weave fabrics (e.g., 4.9 ± 2.8 s compared with 4.0 ± 2.2 s respectively at the upper sensor).
Similar(54)
The defects resulting from the interactions depend on the configuration of the fabric (e. g. shearing) and the acting normal forces.
The content is distributed to end users using the content fabric (e.g. as multi-bitrate DASH/HLS).
However, there is flexibility to incorporate various forms of anisotropy, which can be due to sedimentary and/or tectonic fabric (e.g., fine layering and fractures) as well as a basin and/or regionally developed stress related anisotropy (e.g., stress disequilibrium related to basin uplift) by adding additional anisotropic compliance terms.
The reason might be because the current martial arts uniforms are made from nonperformance fabric (e.g., cotton canvas) and they do not offer protective features, except when practitioners wear additional protective equipment, such as protective gloves and gum shields (Macan et al. 2006).
Information collected with each surface sampled included: date, hospital, hospital ward, type of surface (e.g., sofa), surface material (e.g., fabric), and if the surface was accessible by the public or only by hospital staff.
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