Sentence examples for field description from inspiring English sources

"field description" is a correct and usable phrase in written English.
It refers to a written or verbal explanation of a specific field or area of study. Example: The article included a detailed field description of the current developments in the field of renewable energy.

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Table 7 Fields of gateway # Field name Field description 1. Ganode The gateway is a node in the network 2. Acnode The gateway node has the features of an actor node 3. Issueorder The gateway node issues order to the actor nodes 4. Gnbrs It defines the set of neighbours of a gateway node.

Table 6 Fields of actor # Field name Field description 1. Acnode Used to represent actor node in the network 2. Sense An actor has ability for sensing information 3. Action Actors are able for performing actions 4. Anbrs This field describes set of the neighbours of an actor node.

Table 2 Fields of sensor # Field name Field description 1. Snode A sensor is a node in the network 2. Stype The sensor type may be animal sensor, water pressure sensor or a radon sensor 3. Status This field is used to record the anomaly status 4. Snbrs This field describes the set of neighbours of a sensor node.

Table 1 Fields of abstract object # Field name Field description 1 Node A node may be a sensor, actor or gateway having certain position.

Table 3 Fields of network topology # Field name Field description 1 Subnets This field represents a set of subnets in the network topology 2 Edges The field edges is used to describe communication among the subnets.

Table 3 Fields of animal sensor # Field name Field description 1. Asnode The animal sensor is a node in the network 2. Animals It is set is of animals 3. Temp This field records body temperature of an animal 4. Abehavior The animal sensor detects a change in the behaviour of an animal.

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Mean-field description of phase-transitions and associated critical exponents.

This motivates the inclusion of connection-dependent terms in the force-field description, yielding a reactive force-field.

The proposed prediction approach utilizes Reynolds Averaged Navier Stokes (RANS) Computational Fluid Dynamics (CFD) simulations to obtain near-field description of the noise sources.

This network analog of stochastic resonance is not captured by a mean-field description that incorporates topology only on the level of the average degree, indicating that the detailed network topology plays a significant role in signal propagation.

The mean-field description has also deep theoretical implications in neuroscience.

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