Self-Attention Empowered Graph Convolutional Network for Structure Learning and Node Embedding

In representation learning on graph-structured data, many popular graph neural networks (GNNs) fail to capture long-range dependencies, leading to performance degradation. Furthermore, this weakness is magnified when the concerned graph is characterized by heterophily (low homophily). To solve this issue, this paper proposes a novel graph learning framework called the graph convolutional network with self-attention (GCN-SA). The proposed scheme exhibits an exceptional generalization capability in node-level representation learning. The proposed GCN-SA contains two enhancements corresponding to edges and node features. For edges, we utilize a self-attention mechanism to design a stable and effective graph-structure-learning module that can capture the internal correlation between any pair of nodes. This graph-structure-learning module can identify reliable neighbors for each node from the entire graph. Regarding the node features, we modify the transformer block to make it more applicable to enable GCN to fuse valuable information from the entire graph. These two enhancements work in distinct ways to help our GCN-SA capture long-range dependencies, enabling it to perform representation learning on graphs with varying levels of homophily. The experimental results on benchmark datasets demonstrate the effectiveness of the proposed GCN-SA. Compared to other outstanding GNN counterparts, the proposed GCN-SA is competitive.Comment: 33 pages,6 figures,9 table

Research Article Performance Monitoring and Analysis of the Photovoltaic Power Generation System Based on the PCI Data Acquisition Card

Abstract: In order to analyze the performance monitoring of the photovoltaic power generation system and achieve the optimal control between the energy storage and consumption, the paper has built a multifunctional performance monitoring system based on the virtual instrument technology. The voltage, current, power, environmental temperature and light intensity are collected via the 1716L-PCI data acquisition card and displayed in real time. After the analysis of the collected data, the system explores the performance of the photovoltaic power generation system. Meanwhile, in order to improve energy use efficiency, the system has set different control modes, including automatic mode, manual mode and custom mode, to discuss the optimal control between the load and the storage energy. The experiment results show that the system has flexible control ability, feasible analysis results and pratical value

A High-Precision Real-Time Distance Correction Three-Dimensional Localization Algorithm Based on RSSI for WSNs

In order to reduce the wireless localization error caused by RSSI, which is easily affected by environmental factors, a real-time distance correction three-dimensional localization algorithm is put forward. The algorithm configures reference nodes optimally and uses the Gaussian Model to filter values of RSSI received by nodes. Then distance data is corrected in real-time, the ill coefficient matrix correction and the maximum likelihood estimation are combined to determine unknown nodes preliminarily. After that, filtering and elimination technique are used to process location results, which effectively improve the localization accuracy. Experiment result proves that the algorithm has an excellent precision of 92.9 %, it also has characteristics of a shorter locating time, a lower hardware cost and energy consumption. So, the algorithm is of great stability and practicality

Mechanism Study on the Axial Compressive Performance of Short Square CFST Columns with Different Stiffeners

In order to limit the disengaging of short square concrete-filled steel tube (CFST) columns and strengthen the combined action of steel tubes and concrete, a reinforcing method of stiffener is put forward in this paper. The axial compression performance and mechanism are studied through experiments, which indicate that (1) the buckling model of stiffening members changes into double wave, (2) stiffeners enforce the constraint in core concrete, (3) stiffeners can effectively improve the ultimate bearing capacity, (4) the stiffeners increase the stress in the middle of the steel tube and improve the distribution of stress for the core concrete, and (5) the direct ribs have more influence on the bearing capacity while ribs with holes have more impact on the deformation of the tube. At the end of the article, a formula for calculating the ultimate bearing capacity is presented, which can bring out a more accurate bearing capacity value

Comparative study on the effects of two diatoms as diets on planktonic calanoid and benthic harpacticoid copepods

Two diatoms, Chaetoceros muelleri and Nitzschia closterium f. minutissima, were used for rearing nauplii to adults of Tigriopus japonicus, Acartia pacifica, and Pseudodiaptomus annandalei at different concentrations. The survival rates to adults and activities of superoxide dismutase (SOD) and glutathione-S-transferase (GST) of the adult copepods were measured. The results showed that when fed on N. closterium f. minutissima, A. pacifica was unable to complete naupliar development; while SOD and GST activities of P. annandalei fed N. closterium f. minutissima were significantly higher than those fed the control algae Isochrysis galbana (Prymnesiod), suggesting this diatom species is harmful to these calanoid copepods. The survival rates of T. japonicus were very high when fed N. closterium f. minutissima, indicating that T. japonicus has high acceptance to diatoms. To evaluate whether calanoid copepod had the capacity to acclimatize to diatoms, P. annandalei was cultured for four generations on the two diatoms at 1.7 gC/ml and survival rates as well as SOD and GST activities were determined for each generation. It was shown that starting at the second generation, P. annandalei exhibited adaption to the diatoms with improved survival. When fed on N. closterium f. minutissima, both SOD and GST activities of P. annandalei showed a trend of decreasing with the progress of generation, whereas no significant difference was found among four generations on C. muelleri. This study demonstrates that whether a diatom species is considered harmful to copepods, which is largely species specific, and diatom concentration is an important influencing factor. Additionally, the capacity of copepod adaption to diatoms over time should not be neglected