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It is a basic and challenging task to identify important nodes in hypernetworks, and the related research is of great value for further analysis of network topology and functional characteristics. In order to break through the limitations of the existing important node recognition methods, an important node recognition method based on node propagation entropy is proposed by using hypergraph and information entropy theory. This method takes into account both local and global topology information of nodes, uses the node clustering coefficient and the number of neighbors to represent the local propagation influence of node information, the global influence of the node information is reflected by the shortest path between nodes and K-shell centrality, and fully considers the influence of nodes and their neighbors, the importance of nodes in the network is represented by the size of node propagation entropy finally. Using monotonicity, robustness and SIR propagation model evaluation criteria, compared with other methods on six real networks from different fields, experimental results show that the proposed method can identify the important nodes in the hypernetwork accurately and effectively. [ABSTRACT FROM AUTHOR]

To evaluate the multi-dimensional dynamic safety risks in the deep foundation pit excavation process of urban subway station, a safety risk evaluation method was proposed based on information entropy theory. The entropy method was used to calculate the objective weight value of each safety risk index. In addition, each single safety risk evaluation value and the comprehensive safety risk evaluation value were further proposed to evaluate the safety risk state of single risk evaluation index and the overall safety risk state during the process of deep foundation pit excavation. Combined with the above mentioned two kinds of indexes and the safety risk level evaluation system, the quantitative description of safety risk status is obtained. The safety risk of the deep foundation pit excavation construction process of Anhui Hefei metro station line 7 was further evaluated. The results show that this proposed method can effectively evaluate the safety risk state in the deep foundation pit excavation process. Furthermore, it also can effectively identify the key risk indicators at different construction stages, which provide some technical supports for the safety risk management in the deep foundation pit excavation construction process. [ABSTRACT FROM AUTHOR]

Copyright of Lubrication Engineering (0254-0150) is the property of Editorial Office of LUBRICATION ENGINEERING and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

This paper presents a new method for describing the complexity of geographic line elements. Firstly, the Fourier series is used to transform the geographic line elements from the spatial domain to the frequency domain for analysis. Fourier expansions are performed on different geographic line elements to obtain different Fourier descriptors, then we use the method of setting the area threshold to control the deviation of the geographic elements before and after the Fourier expansion to a certain extent, so that the curve reduced by the Fourier descriptor can replace the original geographic line elements. Secondly, based on Shannon’ s information entropy theory, the amount of information of the fitted curve after Fourier expansion is calculated. Then, by combining the frequency domain with the fractal theory, the data of the amount of information is further processed based on the Head‐tail data break and Koch’ s Two‐Eighth Law, and the concept of the distribution index p is proposed. Finally, the distribution index and the square root model are combined, and the approximate expression of the distribution index of the map at different scales is obtained by the least squares method. We select the contour data of a region to conduct experiments, and experiment results show that the distribution index has a good expression effect on the complexity of geographic line elements at different scales, and can be applied to multi‐scale expression of line elements. [ABSTRACT FROM AUTHOR]

Copyright of China Mechanical Engineering is the property of Editorial Board of China Mechanical Engineering and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

In order to solve the problem that the decision making unit (DMU) couldn't be ranked because of the non-uniqueness of cross efficiency, and the weights of all DMUs were equal when cross efficiency was synthesized, this paper introduced super efficiency DEA model to establish cross efficiency matrix, and calculated the weights of all DMUs by the information entropy that was external. Then it calculated the synthesized cross efficiency. And all DMUs could be effectively ranked. Through the comparison of numerical analysis, the method is feasible. At last, the weapon initiation evaluation applied this method, results show that the method can solve the evaluation and selection problems about weapon project. [ABSTRACT FROM AUTHOR]

Measuring the complexity of information system (IS) is a prerequisite for information systems cost estimating and information systems pricing. For measuring the IS complexity more comprehensive and dynamically, one new construct of data complexity is brought forward and is divided into three dimensions, which are data structure, data volume, and data manipulation. Then, information entropy models are used to compute the complexity of data structure, data volume, and data manipulation, and the grid space theory is employed to calculate the overall data complexity. Finally, an empirical study is conducted with the material management system and sale management systems in two manufacturing firms, and the results indicate that the measurement model and computation method of data complexity are useful to measure the complexity of information system. [ABSTRACT FROM AUTHOR]

This paper proposed a more flexible and scalable method, which was based on more detailed operation characteristics: API function call name, input parameters in API functions, the two types of the combination of features. It extracted three categories above, defined the concept of the information gain value of malicious code with the help of the entropy in information theory, then, calculated the information gain value of the corresponding API and its parameters in distinguishing the malware and begin software. And then selected the characteristic having higher recognition rate to reduce the number of features and analysis time. Experiment show that, a small amount of feature selection and higher accuracy makes it more superior to the algorithm of API based detection of malware. [ABSTRACT FROM AUTHOR]

For multiple attributes group decision-making problems with multi-granularity uncertain linguistic information and incomplete attribute weighted information of the decision-makers, a decision analysis method is proposed. The method, firstly, uniforms the multi-granularity linguistic information using a two-tuple linguistic transformation function. Then, an optimization model, which aims to minimize the relative entropy of the alternatives to the positive ideal solution and maximize the relative entropy of the alternatives to the negative ideal solution, is established to determine the attribute weights of the decision-makers. Finally, the uncertain two-tuple ordered weighted averaging (OWA) operator is utilized to obtain the decision group' s evaluation on the alternatives. By calculating the possibility degree to which the alternative is superior to others, the alternatives can be ranked. The numerical example illustrates the feasibility and effectiveness of the proposed method. [ABSTRACT FROM AUTHOR]

In response to the existence of the denial of the normal test and skewness as well as kurtosis, the research on correlation based on the assumption of multi-dimensional normal distribution and linear-dependent coefficient may not be accurate and proper. Therefore, the Copula entropy function is founded by combining Copula theory with the entropy of information. Compared with the mutual information in information theory and the correlation coefficient, the Copula entropy function has the advantages that it is not confined to dimensions and has dimension and the ability of taking non-linear correlation relation. Then, the experimental data is validated by combining with the economic circle theory, which shows feasibility and validity. [ABSTRACT FROM AUTHOR]