Abstract In this paper we propose an object detector based on deep learning for scanning samples of table olives. For the construction system have used a Mask R-CNN neural network. This network is able to segment image providing mask each olives in sample from which can obtain calibre object. addition, measure degree ripeness classifying them as green, semi-ripe and ripe, identifying those frui...

Although the percentile-based control charts are very effective with guaranteed in-control and out-of-control run lengths in statistical process control, they still lack algorithmic (especially) software support. The proposed (pbcc) tool fills this gap. This is freely available implements recent work on individual as well joint charts.

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1. Changed the STC classification rules to use a default of STCLO instead of SYSSTC by using the SPM rules. 2. Added a new service class, NEWWORKV, for new work that requires a velocity goal instead of a response goal. Changed some new workloads to use NEWWORKV instead of NEWWORK. 3. Updated the description of CICS and IMS subsystems to recommend using response time goals initially. 4. Assigned...

We implement a one-loop analysis of the ρ parameter in the Left Right Twin Higgs model, including the logarithmically enhanced contributions from both fermion and scalar loops. Numerical results show that the one-loop contributions are dominant over the tree level corrections in most regions of parameter space. The experimentally allowed values of ρ-parameter divide the allowed parameter space ...