Sentence examples for bias integral from inspiring English sources

Exact(1)

There, it is concluded that contaminant concentration gradients can bias Integral Pumping Test (IPT) interpretations considerably, in particular if IPTs are conducted in advective fronts of contaminant plumes.

Similar(59)

The expression for the drain current is computed as a function of gate-to-drain bias via integral expression.

Also, the datasets derived from affinity capture-MS can be biased against integral membrane proteins, because biochemical purifications require detergents to isolate proteins away from the lipid bilayer [ 16].

A new design of decentralized biased proportional and integral dual mode controllers for load frequency control of interconnected power systems considering governor deadband (GDB) and generation rate constraint (GRC) non-linearities is presented in this paper.

The barrier pushes the electron and hole wavefunctions towards the layer edges and under bias, increases the overlap integral by about 25% leading to higher detectivity.

As seen from the equation the PID control variable depends on the current error (the proportional term), the rate of change of the error (the derivative term), and the long-term bias of the error (integral term), hence PID.

The detector PHA setting for Cl were integral mode, bias equal to 1716 V, baseline equal to 0.7 V, window equal to 9.3 V, and gain equal to 64.

The articles were fact-checked, sources were confirmed and bias was absent -- three integral elements of journalism.

The SMH views the participation in decision-making by the body proper as integral to emotional biasing and hence key to choosing in an advantageous manner.

Hence, a simple design of biased controllers with proportional and integral modes using an integral square error (ISE) criterion and maximum stability margin (MSM) criterion based on minimum settling time for interconnected power systems are discussed.

A novel linear tracking integrator (LTI) with integral compensation is proposed for efficient integral estimation from a contaminated measurement with a constant or time-varying bias.

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