Sentence examples for a subset of components from inspiring English sources

Each OSD XML file is composed of five key parts, each of them defines a subset of components: Environment/system, including fading and antenna, as specified in Table 2.

We first look at how this integration can occur within the problem formulation step in risk assessment where the system is defined, a conceptual model created, a subset of components and functions selected, and the analytical framework decided in a context that includes the management decisions.

In functional network models the system is decomposed into interacting sub-systems which are characterized by their input-output behaviour described by the set of functions u ̲ ( x ̲ ), where the function representing a node l depends only on a subset of components of x ̲ : u l = u l ( x ̲ l ), x ̲ l ∈ ℜ m l ⊂ ℜ n, m l < n.

A module is usually defined as a subset of components in a network that interact with each other and act in concert to regulate biological processes, while maintaining relative independence from other components in the network.

A subset of components was defined as mass media (such as an advertisement on radio or television), while community-level components (IPC) were defined as flannelgram, picture codes small media, such as posters, and booklets and leaflets.

Nevertheless, there may be some overlap in the components of both layers, with the physical differences between the shell and mucin coat due to a subset of components that are specific to one or the other.

The quadrature phase dimension provides additional degrees of freedom that enable partial-component NUS (collecting a subset of quadrature components) to further reduce sampling-induced aliases relative to traditional full-component NUS (collecting all quadrature components).

The main task is to take the requirements and constraints, together with a set of possible electronics components, and then to select a subset of these components to satisfy the requirements (functional, physical, …) and constraints, while minimizing or maximizing the objective function.

The common approach is to combine dimensionality reduction and clustering methods: First, a sample-based principal component analysis (PCA) is performed to compute a subset of principal components.

Our method rests on a hypothesis that if a subset of system components discriminates between system's functional states, then when considered altogether, these components most likely form a cross-talking phenotype-determining feature subset.

Only a subset of the components proposed in section 3.3.1.1 was implemented.