Sentence examples for strength of user from inspiring English sources

Hence, we adopt a parameter called relative strength of user i on PRB φ which is given as: θ i, φ ( n ) = χ i, φ ( n ) χ i ( n ) (16).

Contrary to research that attempts to find the most influential users in complex networks [27 29] that often uses only the user social network, we use detailed time information on user actions and aim at measuring the strength of user influence over individual users.

The experimental variables that are assumed to play role in the performance of the system are as follows: (1-) user disposition, (2-) intruder knowledge of the authentic keystroke latency, (3-) sensitivity of the data acquisition system, (4-) strength of user password, (5-) sampling rate of the data acquisition system, and (6-) threshold values of the AR and latency classifiers.

γ controls the channel strength of user-2.

If γ=1, the channel strength of user-1 is equal to that of user-2.

PageRank calculates user's centrality scores based on their connectivity in the weighted activity graph where a weighted activity graph is derived by using user's communication activity and the strength of users' connections (Heidemann et al. 2010).

It says that the effective channel strength of each user is the energy in the projection of this user's channel when it is projected on the null space of its interference subspace, the subspace spanned by the channels of those users who create interference for this user as a function of encoding order.

A hand tool is a small manual instrument traditionally operated by the muscular strength of the user, and a machine tool is a power-driven mechanism used to cut, shape, or form materials such as wood and metal.

However, Web 1.0 companies measured themselves on pages viewed and CPM rates, rather than the strength of their user habits.

This allows them to validate the strength of the user experience and the value they get from the service, before they convert and pay".

The architecture comprises low-pass and derivative filters, an unsupervised classifier that adapts continuously to the strength of the user's movements and a finite state machine which sets up a timer to prevent involuntary movements from triggering false positives.