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|1||Title : Application of the active inductor circuit (AI) based band pass Filter (BPF)
Authors : Hamdaouy Ridouane , Boussetta Mostapha, Khadija Slaoui
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A novel active inductor approach, which can improve the quality-factor, was presented in this report. A current reuse active inductor circuit topology was proposed, which can substantially improve its equivalent inductance. This active inductor was implemented by using a 0.13um- CMOS technology, which gives a maximum quality-factor of 1.45 with a 40 nH at 2.259GHz. An optimized differential topology of an RF active filter and its performances are presented. It make use of negative resistance and fully differential in order to independently tune the central frequency and the quality factor with a minimum power consumption of 1.98 mW. The principle seems to be sufficiently general to be used for other active filters single–ended or differential topologies based on simulated inductors.
|2||Title : Non ideal iris recognition based elastic snakes and graph matching model
Authors : Nouf Saeed Al Otaibi
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Normally, iris recognition technologies robustly identify a person from its iris patterns, but they perform under a constrained environment to acquire good quality image data. In this paper, we have enhanced Elastic Graph Matching to the Modified EGM (M-EGM), which is afford to handle misalignments between irises by enhancing the robustness of node descriptors and cost function. The improved performance of the M-EGM was evaluated through the recognition simulation based on arbitrary irises. Individual segmented irises are represented as a labeled graphs. Nodes are labeled with robust jets; edges are labeled with distance vectors. The improved cost function is defined to compare two irises graph, taking into account the similarities of individual robust jets and the relative distortion of the graphs. Recognition results are given for galleries of irises from CASIA version 1 and UBIRIS databases. The numerical results show that, the M-EGM is an effective in the presence of partial occlusion as well as for iris matching process. We also compare our results with previous results and find out that, the M-EGM is an effective matching performance.
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