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The segmentation procedure is based on our active contour model with elliptic shape constraint (Section 3.3).
All this information is used all along our segmentation method which relies on an active contour model with shape constraint (Section 3.3).
However, for the well spacing four well are used to test the spacing effect as per the procedure described in the well constraint section.
Each of these directions is solved using an approach similar to DP but in this case the ordering constraint (Section 2.4) is not enforced.
The non-negativity constraint (Section 2.7) had only a minor impact, resulting in a recommended nutrient reduction of 42% instead of 41%.
Although included in the organism level constraint section, we must reinforce the importance of how the three levels of constraints interact to alter the injury risk (by example, altering stroke patterns and mechanics) and that injury risk is not isolated to the organism alone.
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Maximum stresses arise at the interface between supporting saddles and cylinder walls, that is in corresponding of the constraint sections, where, in absence of section increments, a stress increase is reasonable.
The user can select data based upon the type of specimen ('General constraints' section).
The statistics are then used to generate both BIP constraints (Section 4.3) and a BIP objective function (Section 4.4).
In "Interference power constraints" section, we analyze the received interference power at the primary receiver and apply this as a power constraint on the secondary users.
However, the flexibility of the 'General constraints' options ('General constraints' section) allows the user to select data based upon methods, materials, specimen types, and site statistics.
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