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The considered strut structural factors in this work consist of sweep angle, tip gap, and leading edge transition arc radius.
The photoluminescence spectroscopy is an excellent intensive technique for the investigation of the exact band edge transition levels of a material.
On the other hand, the edge detector [8] uses the edge transition imposed on each data-encoded baseband signal as its decoding criterion.
As shown in Figure 4a, the PL spectra of all samples consist of a UV emission assigned to the near band edge transition of ZnO and several visible emissions due to defects and/or dopants.
This is due to a near band edge transition of wide band gap of ZnO, namely the recombination of free excitons through an exciton exciton collisions process [20, 23].
The results showed that hydrodynamic conditions and higher potentials promoted the formation of ZnO/ZnS nanotubes with both higher sulphur content and crystalline defect density, which reduces the near band edge transition value of the materials and improves the photoelectrochemical activity for water splitting.
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However, TI algorithms can produce steep and natural edge transitions without undershooting and overshooting.
Experimental results show that the proposed method substantially reduces the jagged edges of the converted images and provides steep and natural-looking edge transitions.
These negative coefficients are used to produce steep and sharp edge transitions in the step edges and to recover the image details in the texture regions.
Sharp peaks at 451 and 455 nm were observed for both samples corresponding to the band edge transitions, followed by a strong peak at 632 nm.
The spectrum of the ELO sample is dominated by band edge transitions assigned to the donor-bound exciton D 0 X and free A exciton recombinations 7 meV higher (3.485 and 3.492 eV, respectively).
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