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group these four cases into three categories, C1 fe1 ; e4 g; C2 fe2 g, and C3 fe5 g, where the corresponding solutions (the rental cost of the apartment stored in a case) are 500, 2500, and 880. We then count the number of cases in each category. For example, the number of cases in category C1 is 2, the number of cases in category C2 is 1, and the number of cases in category C3 is 1. Since the number of cases in category C1 is the greatest, we choose 500 as the suggested solution to the present case. Note that once we have obtained an adapted solution, its validity should be tested in reality. In the example here, the landlord might be asked if the solution (i.e., the suggested price) is acceptable. If it is acceptable, the performance of this CBR system can then be improved by adding this new case record. 1.9.5 Case-Base Maintenance

read pdf file in asp.net c#

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how to read pdf file in asp.net c#

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[1] described an extension of the Gabriel graph construction that can be applied in quasi-UDG that satis es that the ratio between the maximum and the minimum transmission radius is lower than or equal to 2 As it was pointed out as well by Kuhn et al, this ratio forms a sharp transition with respect to locally detectable edge intersections [23] In the Gabriel graph-based robust topology control mechanism described in the work by Barriere et al[1], each node u determines for all its nonprocessed outgoing edges (u, v) if there exists a neighbor node w that is located within U(u, v) Any such detected neighbor node w is announced to node v Node v adds w as an unprocessed node to its neighbor set, if node w was not a known to v so far.

and black-set values or change the value corresponding to midlevel gray. The handles at the ends of the function line are moved to define the white and black set points. Moving the handles to new locations on the histogram changes the brightness and contrast of the image (Fig. 15-1). To increase contrast, the handles are moved closer together. All pixels with values greater than the white set point are displayed as white, and all values lower than the black set point are displayed as black. All intermediate values are assigned a gray-level value according to their distribution along the LUT display function. Moving the handles closer together to increase image contrast is called histogram stretching, because the act of selecting new black and white set points for a middle range of gray values effectively stretches the desired portion, from black to white. In effect, the user has now defined a new LUT that the computer uses for displaying the image. To