In this paper, the single machine replacement problem is being modeled into the frameworks of stochastic dynamic programming and control threshold policy, where some properties of the optimal values of the control thresholds are derived. Using these properties and by minimizing a cost function, the optimal values of two control thresholds for the time between productions of two successive nonco...

With numerous promising cases in image processing, voice recognition, target detection, and other fields, deep learning (DL) have proven to be an advanced tool for big data analysis. It's been used food science engineering recently as well. This is the first food-related study that we are aware of. We gave a brief overview of DL this paper, well comprehensive descriptions structure some common ...

The aim of this work is fast, automated planning of robotic inspections involving complex 3D structures. A model comprised of discrete geometric primitives is provided as input, and a feasible robot inspection path is produced as output. Our algorithm is intended for tasks in which 2.5D algorithms, which divide an inspection into multiple 2D slices, and segmentation-based approaches, which divi...

In this paper, an engineering statistical model is proposed for the prediction of control and assurance in software engineering. This paper attempt statistical learning theory is to studies in a framework the properties of learning theory based on software engineering in quality testing using acceptance sampling statistical quality control and software testing and quality assurance on sampling ...

This paper tries to establish a framework for sampling inspections by attributes based on soft quality standards in order to pay more attention to some shortcomings in classical modelling concerning the acceptability of inspection lots. As a suggestion such sampling inspections are described in terms of a statistical test with fuzzy hypothesis and fuzzy data, extending the classical framework o...

This paper focuses on the sampling-based Deep Packet Inspection for the traffic of P2P file sharing systems, especially for BitTorrent, and proposes a logarithmic-based Adaptive Trust Sampling (ATS) strategy for P2P traffic identification. In the whole process of sampling identification for P2P traffic, the sampling ratio of the current node in a P2P network can automatically adjust and dynamic...