Sentence examples for proximity rule from inspiring English sources

While insisting that the law supports the proximity rule, he added, "If I say, 'No, you're not eligible,' what have I done but drive you into the court system, which is something the facility is designed to avoid?" Lawyers have also angrily accused Mr. Feinberg of discouraging those affected by the spill from hiring lawyers to file their claims.

Algorithm 2: Proximity rule.

As can be seen the meeting rule uses the information determined by the "proximity" rule.

That is, the proximity rule uses spatiotemporal action and the visibility of individuals inferred from gazing direction, as seen in Algorithm 2.

In what follows, we assume that the adjacency matrix A(k) coevolves with the node dynamics (see Fig. 1) according to a proximity rule: begin{aligned} a_{ji} k)= left{ { begin{array}{ll} {1}&{text {if } j,i in mathcal {E}_{omega } quad text { and } quad mid x_j k -x_i(k) mid le epsilon left( x_j k -x_it), } {0}&text {otherwise,} end{array}} right.

The size of the neuron and the proximity rule can only be an estimate of the average behavior of axons growing close to existing neurons.

The remainder of our work is organized as follows: first, we model the problem of steering the opinion in a group of individuals as a containment control problem, and then we introduce the alternative containment strategies to control three artificial societies with their respective proximity rules.

Rules included searching for words in specific database fields (e.g., undetermined in the cause of death field), and proximity rules (e.g., immune within two words of deficiency).

This paper proposes two novel techniques: (i) an automatic identification of consistent and inconsistent states of SCADA data for any given system, and (ii) an automatic extraction of proximity detection rules from identified states.

Dal et al. proposed an automatic road extraction method which included two steps: first step is road seed extraction-based geometric and radiometric properties of an image, and the next step is linking of road seeds based on two basic perceptual grouping rules, the proximity and collinearity rules [6].

During the extraction phase, the well-known fixed-width clustering technique is extended to extract proximity-detection rules, which forms a small and most-representative data set for both inconsistent and consistent behaviours in the training data set.