通讯机构：
[Bin Guo] D;Department of Physics, Wuhan University of Technology, Wuhan 430070, China
关键词：
Multipartite nonlocality;Quantum phase transitions;Energy spectra;Ising model;Tilted magnetic field
摘要：
We use the multipartite nonlocality to detect the quantum phase transitions (QPTs) in the onedimensional Ising model with a tilted magnetic field. For a given transverse magnetic field, we investigate the impact of the coupling strength, the longitudinal magnetic field, and the temperature on the multipartite nonlocality and its first derivative. We show that both the multipartite nonlocality and its first derivative of the ground-state can perfectly characterize the QPTs of the model. We further show that the multipartite nonlocality at finite temperature exhibits different behavior from that of the groundstate. We find that the thermal fluctuations can weaken the multipartite nonlocality. However, a high longitudinal magnetic field can destroy the weakening effect of the thermal fluctuations, particularly near the QPTs point. In particular, we find that the logarithm measure of multipartite nonlocality both at zero and finite temperature shows a linear behavior for any fixed longitudinal magnetic field. (c) 2022 Elsevier B.V. All rights reserved.
摘要：
We complement the MALATANG sample of dense gas in nearby galaxies with archival observations of (CO)-C-12 and its isotopologues to determine scaling relations between Wide-field Infrared Survey Explorer (WISE) 12 mu m emission and molecular gas tracers at subkiloparsec scales. We find that 12 mu m luminosity is more tightly correlated with (CO)-C-12 than it is with (CO)-C-13 or dense gas tracers. Residuals between predicted and observed (CO)-C-12 are only weakly correlated with molecular gas mass surface density (sigma(mol)) in regions where sigma(mol) is very low (similar to 10 M (circle dot) pc(-2)). Above this limit, the (CO)-C-12 residuals show no correlations with physical conditions of molecular gas, while (CO)-C-13 residuals depend on the gas optical depth and temperature. By analyzing differences from galaxy to galaxy, we confirm that the (CO)-C-12-12 mu m relation is strong and statistically robust with respect to star-forming galaxies and active galactic nucleus hosts. These results suggest that WISE 12 mu m emission can be used to trace total molecular gas instead of dense molecular gas, likely because polycyclic aromatic hydrocarbons (PAHs, a major contributor to WISE 12 mu m emission) may be well mixed with the gas that is traced by (CO)-C-12. We propose that WISE 12 mu m luminosity can be used to estimate molecular gas surface density for statistical analyses of the star formation process in galaxies.
通讯机构：
[Zhang, C.] W;Wuhan Polytechnic University, China
关键词：
adaptive dynamic genetic optimization algorithm;Dynamic neural network optimization model;radial basis function neural network;soil heavy metal content prediction
摘要：
To improve the accuracy of soil heavy metal content prediction, this study proposes a dynamic neural network optimization model (DNNOM). The model is based on a radial basis function neural network (RBFNN). The weights and bias of the output layer of the RBFNN were generated using an adaptive dynamic genetic optimization algorithm (ADGOA), and the center point of the hidden layer of the RBFNN was determined using an efficient density peak clustering algorithm (EDPC). An adaptive variance measure (AVM) was then used to generate the width vector of RBFNN hidden layer. The model was applied to the predict soil heavy metal content in six new urban areas in Wuhan. Through comparison with support vector machine(SVM), light gradient boosting machine(LightGBM), RBFNN, and genetic algorithm optimizes the radial basis function neural network(GA-RBFNN), the experimental results demonstrate that the DNNOM is closer to the real value than the other four models, and the four error indicator values are also significantly lower than those of the other comparison models, which have higher prediction accuracy. Especially when compared with RBFNN, the MAPE and SMAPE of DNNOM decreased by 3.98% and 3.9%, respectively.
期刊：
2022 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI),2022年:836-839
作者机构：
[Liu Ya; Xiao Juan] School of Electrical and Electronic Engineering, Wuhan Polytechnic University, Wuhan, China
摘要：
Network slicing technology is the core technology of 5G mobile communication network, which has been widely used in industrial Internet. Firstly, this paper makes a specific analysis and research on the basic concept, characteristics, structure, establishment process and deployment implementation of network slicing, and then discusses in detail the deployment, parameter design and networking of 5G network slicing in industrial Internet according to the scenario application of 5G slicing technology in industrial Internet. The rational use of network slicing technology can realize the flexible matching of network resources, meet the network needs of users at a lower cost, significantly reduce enterprise operating costs, improve production efficiency, and optimize the allocation of manufacturing resources.
通讯机构：
[Yuangen Yao] D;Department of Physics, College of Science, Huazhong Agricultural University , Wuhan 430070, China
摘要：
It was demonstrated recently that logical chaotic resonance (LCR) can be observed in a bistable system. In other words, the system can operate robustly as a specific logic gate in an optimal window of chaotic signal intensity. Here, we report that the size of the optimal window of chaotic signal intensity can be remarkably extended by exploiting the constructive interaction of chaotic signal and periodic force, as well as coupling, in a coupled bistable system. In addition, medium-frequency periodic force and an increasing system size can also lead to an improvement in the response speed of logic devices. The results are corroborated by circuit experiments. Taken together, a reliable and rapid-response logic operation can be realized based on periodic force- and array-enhanced LCR.
摘要：
Thermal stress is one of the main sources of micro-electro-mechanical systems (MEMS) devices error. The Wheatstone bridge is the sensing structure of a typical piezoresistive MEMS pressure sensor. In this study, the thermal stress induced by potting adhesive in MEMS pressure sensor was investigated by experiments, calculated by analytics and analyzed by simulations. An experiment system was used to test the sensor at different air pressures and temperatures. The error becomes greater with the decrease in pressure. A set of novel formulas were proposed to calculate the stress-strain on Wheatstone bridge. The error increases with the temperature deviating from 25 degrees C. A full-scale geometric model was developed, and finite element simulations were performed, to analyze the effect of the stress on MEMS pressure sensor induced by different temperatures and thicknesses of potting adhesive. Simulation results agree well with the experiments, which indicated that there is a 3.48% to 6.50% output error in 0.35 mm potting adhesive at 150 degrees C. With the thickness of potting adhesive increasing, the variations of output error of the Wheatstone bridge present an N-shaped curve. The output error meets a maximum of 5.30% in the potting adhesive of 0.95 mm and can be reduced to 2.47%, by increasing the potting adhesive to 2.40 mm.
摘要：
The effect of time delay is inferred by studying the influence of time-delayed feedback on the signal threshold of logic input signal, which reflects the width of the bistable region. Time-delayed positive feedback does not alter the width of the bistable region but increases the switching time. Time-delayed negative feedback leads to decreases in the depth of two potential wells and the width of the bistable re-gion of the system, resulting in instability and oscillation of the system. Then, the parameter plane of the system can be divided into suprathreshold, subthreshold, oscillatory and alternate regions. With increas-ing time delay and negative feedback intensity, the suprathreshold and oscillatory regions continuously squeeze the middle subthreshold region until they are connected. One part of the oscillatory region is directly connected with the suprathreshold region, while the other part is transiently connected with the alternate region. There is an unstable limit cycle on the directly connected boundary. In the alternate region, the system is sensitive to initial values and system parameters and can enter two potential wells alternately with slight variations in sensitive parameters. (c) 2021 Elsevier Ltd. All rights reserved.
