Key point detection is still a challenging issue in pattern recognition. With the recent developments on complex network theory, pattern recognition techniques based on graphs have improved considerably. Key point detection can be approached by community identification in directed complex network because image is related with network model. This paper presents a complex network approach for key point detection in video monitoring image, which is both accurate and fast. We evaluate our method for square and subway station video monitoring images. Results show that our algorithm can outperform other traditional method both in accuracy and processing times.
A stanosilicate IEZ-Sn-PLS-3 with an interlayer expanded structure of FER topology was developed by acid treatment including F− and Sn4+ ions on layered precursor PLS-3. XRD and pyridine adsorption measurements confirmed that the resulting material possessed enlarged pore size and heteroatom Sn as the Lewis acid sites. IEZ-Sn-PLS-3 turned out to be an effective catalyst for the Baeyer–Villiger oxidation of 2-adamantanone with H2O2.
Modern information technology has been constantly evolving, transforming the traditional power grid into a network that couples both power and information layers. Understanding the cascade failure behavior of such power communication interdependent networks is essential for effectively controlling catastrophic network failures, preventing system collapse, and ensuring normal network operation. This research can contribute to the development of tools to predict and prevent such failures, and restore normal network functions in a timely manner. This paper focuses on the modeling method and cascading fault analysis of the power-information double-layer coupling network. We construct power information interdependent networks based on IEEE30 system and England39 system, and evaluate the cascade failure results using load distribution cascade failure model and HITS algorithm. The evaluation criteria include network efficiency, residual network size, and residual network load. By analyzing these parameters, we can gain insights into the performance of the power-information interdependent networks during cascade failures. Through simulation results, we demonstrate that the type i attack proposed in this paper renders the network structure unstable and less robust compared to the degree attack, intermediate attack, and random attack. These findings provide valuable references for developing strategies to mitigate the cascading failure of power-information interdependent networks.
Software development is an important part of software engineering.In this paper, we puts forward the teaching method of software development course based on "project experience learning mode" for the shortcomings of practical training conditions and practical experience of applied undergraduate colleges.We apply this method to VC ++ programming course, and achieved good teaching effect.
The education and contest of mathematical modeling are considered to be one of the effective means for improving college students' qualities, and one of the cut-in points for the teaching reform in college mathematics. We concentrate on the problem in traditional mathematical modeling course and share our experiences in teaching and training of the course at Hunan University of Arts and Science. Moreover, we state several suggestions on the teaching and contest of mathematical modeling course.
Abstract This paper summarizes the key line identification method of the most representative power network in the complex networks. It is of great significance to identify the key line of the power transmission network to prevent the cascade failure of the power system. By analyzing and comparing the methods of identifying key line in recent years,this paper summarizes the power betweenness method, electrical betweenness method, comprehensive importance method,entropy theory and some other methods,and expounds their advantages and disadvantages. Based on this,the future research direction of critical line identification in complex power transmission networks is proposed.
To study the effect of filling phosphogypsum (PG) on the axial compression behavior of cold-formed thin-walled steel (CFS) walls, four full-scale test specimens were designed and fabricated, in consideration of the filling regions of PG as well as measures with or without wall sheathings. The fabricated specimens were tested under monotonic vertical loads, and the failure processes and failure modes of specimens were elaborated. Each specimen’s axial load-displacement curve, bearing capacity, strain curve, and energy dissipation capacity were investigated in detail. Furthermore, the internal force distributions of wall components and failure mechanisms were revealed. The test results indicated that the failure characteristics of specimens include the buckling of the steel tubes, cracking of wall sheathings, crushing of PG, and distorting of tracks. Compared with the cavity wall specimen, the axial bearing capacity of the specimen filled with PG in the studs only increased by 37.4%, and the bearing capacity of the specimen filled with PG in and between the studs increased by 115.7%. This indicates that filling PG can effectively improve the axial bearing capacity of CFS walls. The bearing capacity of the specimen without wall sheathings is lower than that of the specimen with wall sheathings, indicating that the wall sheathing has a beneficial effect on the bearing capacity of the specimen. In addition, the internal forces of components during the loading process were analyzed. It found that the steel tube and PG made a great contribution to the bearing capacity of the wall. Specifically, the steel tube played a leading role in the early loading stage, while the PG played a leading role in the later loading stage.
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