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The continuity of the process also means that Clip produces much stronger objects than the slate-like structure of objects printed in layers, which can be sturdy in one direction, but will shatter under force in the other.
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As a result of the stronger object connections, nodes carrying only object information end up being more numerous in the entorhinal representations than nodes conveying only context input.
In this case the pattern was simple, with stronger object coding on the contralateral side in all cases.
Essentially the system prints very fine, very strong objects and constantly tests them for structural accuracy.
We compare the proposed method on two cases: strong objects and weak objects.
The researchers said this is the same system used by "bones to tree" to create naturally strong objects.
Fig. 3 Performance of the proposed method on Cameraman image, compared to the DWT based method with the strong objects.
Fig. 4 Performance of the proposed method on Lena image compared to the DWT based method with the strong objects.
From Figs. 3, 4 and many other tests, we observed that, in the case of strong objects, the proposed method is better than the other methods.
To sum up, from all the above experiments and many other experiments, we observe that the performance of the proposed method is better than the DWT based method in the both cases: weak objects and strong objects.
In this case, the object is Cameraman body (strong object) as Fig. 3(b).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com