Sentence examples for soft sources from inspiring English sources

In a similar field, Antonietti et al. have performed pioneer works by elaborating a variety of carbon-based microstructures and nanostructures from hard or soft sources such as orange peels, oak leaves, pine cones, pine needles, and rice [10 12, 17, 22, 23].

A cloud environment can provide a decision-making platform at the PaaS layer that can compile non-spatial, spatial and temporal data from various sources in an urban environment (e.g. hard sources: data coordinates, signal frequency and location, video, imagery, buildings, land-use, event occurrence, socio-economic, demographic etc. and soft sources: social-networks on web, etc).

The mean-field breakdown theory can also explain the large scatter typically observed in small-scale mechanical tests as the availability of sufficiently soft sources at scales around or below the correlation length does not follow statistical laws but highly depends on the position where the probe is taken.

The intervals to search for the optimal solution when using a continuous soft source are presented in Table 2 and can be defined as (6).

This category of super-soft sources consist of high-mass white dwarfs with very high surface temperatures (0.5 × 106 to ).

That is, less tangible soft memory sources, such as cultural norms, also play a considerable role in faculty decision-making.

The receiver obtains the maximum T ̄ transmissions of the same information packet and combines all the soft information sources of the packet in bit-level.

Soft information sources (symbol-level BPAs) from all receive antennas are aggregated by the Dempster's combination rule, and the uncertainty is counteracted during the combination process.

As the channel circumstance is stochastic in each (re transmission, the obtained soft information sources M a s j k ( t ) S t = 1, 2, …, T ̄ for each bit in all of T ̄ transmissions are independent.

For non-catheter HD patients, the rate of bacteremia was significantly lower (15.0%), and pulmonary and skin and soft tissue sources accounted for the majority of cases of bacteremia.

Although it is first proposed as a DS detection-aided bit-level DS combining, the proposed DS combining is a universal scheme, in which the soft information sources M a s j k ( t ) S t = 1, 2, …, T ̄ are achieved by (15), imposing the plausibility values from the DS detection.