Unsupervised adversarial domain adaptation with similarity diffusion for person re-identification

Intelligent Quality Evaluation System for Vertical Shaft Blasting and its Application

“…In multi-objective decision-making [19], scientifically and rationally determining the key indicators is one of the core tasks in the evaluation of shaft blasting quality. In this paper, we use the improved AHP to analyze the weights of 10 factors affecting the quality of shaft blasting, so as to determine the key indicators for blasting quality evaluation.ihe Analytic Hierarchy Process (AHP) in systems engineering theory is a good method to determine the weights, which is a multiobjective and multi-criteria decision-making method that can divide the factors in a complex problem into an orderly hierarchy of related factors and makes them organized.…”

“…Six experts in the field of blasting were invited to score the importance of pairwise comparison of the key indexes of the shaft blasting quality evaluation. Each expert forms their comparison matrix after scoring, and then checks the consistency according to equation (19), and corrects the unqualified matrix according to the PSO. The comparison matrices of experts 1 to 6 are as follows:.…”

“…The test is performed using equation (19): 19) is a common equation in the AHP, which is used to calculate the consistency ratio after calculating the consistency index CI. When CR<0.1, the consistency of the judgment matrix is generally considered acceptable.…”

“…𝐶𝐼 = (𝜆 𝑚𝑎𝑥 − 𝑛)/(𝑛 − 1) (20) For the multi-order judgment matrix, the average random consistency index RI (Random Index) is introduced, which is obtained by taking the arithmetic average after repeating the calculation of the characteristic roots of the random judgment matrix several times. According to equation (19), to perform the consistency test, it is necessary to give the RI value, which needs to be obtained by calculating. The RI values of the judgment matrix of order 1-9 calculated according to the literature [28] are shown in TABLE II.…”

Study on the characteristic of the grounding fault on the cascaded midpoint side of the hybrid cascaded HVDC system

“…By examining and interpreting power grid data, artificial intelligence (AI) technology can enhance the intelligent management of power grids, thus reducing energy consumption and environmental pollution (Cai et al, 2022;Tang et al, 2022;Wu et al, 2023). The hybridcascaded high-voltage direct current (HVDC) transmission technique can effectively reduce power transmission losses, and a combination of the two can boost further the energy utilization efficiency and intelligence of the power grid (Tang et al, 2021;Dong et al, 2023;Liang et al, 2023). In China, the energy distribution is opposite with respect to the center, with bounteous renewable energy sources in the west and developed economies and highenergy demand in the east, and HVDC has numerous potential applications as an important means of large-scale energy transfer.…”