Multiple Dependent State Sampling Inspection Plan for Lindley Distributed Quality Characteristic

This article develops multiple dependent state (MDS) sampling inspection plans based on the mean of lifetime quality characteristic that follows non-normal distributions viz., exponential and Lindley distribution. In this plan, the lot quality is measured by the lot mean (𝜇). We have estimated the optimal plan parameters of the proposed technique by non-linear optimization approaches considering acceptable quality level and rejection quality level. We have compared the sample size between the MDS sampling inspection plan and the single sampling inspection plan for the variable. Finally, we have taken two examples to illustrate the proposed technique.

Association analysis in food sampling inspection data

At present, China exists a problem that the cost of food sampling inspection is too high. This paper attempts to reduce the number of sampling inspection items in the same food category, reduce the cost of food sampling inspection, and improve the work efficiency through the association analysis of national sampling inspection data. And this paper applies Apriori algorithm to analyse the association rules, which is based on the unqualified pastry sampling inspection data in the 2019 national food sampling inspection database. Finally, we obtain 10 strong association rules through experiments. The results show that this association analysis can reduce the workload of food sampling inspection effectively.

Research on 3D Sampling and Monitoring of Power Supplies Based on Augmented Reality (AR) Technology

In this paper, three-dimensional object detection and tracking based on neural network is studied. The application of Augmented Reality (AR) in power material sampling monitoring service in China Power Grid is presented, relying on the AR technology of 5G Internet of things to realize real-time capture of the information from power network infrastructure project to goods sampling inspection and monitoring, and to solve the difficult business management problem that many parties need to participate on the spot but can not guarantee the timeliness, the AR technology is used to mark, early-warning and trace the source of the problem materials, so as to ensure the authenticity and traceability of the whole process.