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Earthquake prediction is one of the most difficult problems in modern natural science. Undoubtedly, various seismic parameters included in broadband radiated energy catalogue of NEIC is very important data source of investigate correlation between differernt earthquake within specific time space scope and earthquake prediction. In the paper, we a linear fitting mode of seismic magnitude based on method of least squares and seismic energy is established, using which we can fill the absent energy filed in the broadband radiated energy catalogue.

Earthquake prediction is a difficult global scientific problem. As one aspect of the earthquake prediction, seismicity prediction and subsequent earthquake is also a big difficult of science problems. Analysis of the seismic sequence and the study of the main parameters (magnitude, radiation energy, apparent stress, seismic moment) and subsequent aftershocks is an important basis for prediction of seismicity and subsequent strong earthquakes. In this study, the relations between some of main shock parameters and the maximum aftershock are obtained based on association rules.

In order to extract characteristic values of graphene, a method based on a series of digital image processing algorithms was proposed in this paper. Using the method, we can automatically analyze topology structure and calculate amount of carbon atoms, and even calculate chiral vector indices (n, m) during in-situ TEM scanning of graphene. At last, we also write the correlative software with c++, which applying the digital image processing algorithms, and give out the processing result of several classic TEM image of graphene.

The separation efficiency, separation factor, flow and other parameters are closely related in terms of horizontal spiral sedimentation centrifuge. This article takes lwb350 horizontal spiral sedimentation centrifuge for example, with the help of FLUENT software, the relationship among the separation efficiency and the working speed as well as feed flow is analyzed through the numerical simulation of solid-liquid separation, which can provide reference for the application of simulation analysis and research on properties of spiral centrifuge.

As the rapid development of China’s national economy, China’s construction industry shows a rapid growth. Because construct project has the feature of large investment and long construction time, there are many unforeseen factors in the construction process. The project participants may face many risks. This paper firstly analyses risk factors of construction project, secondly describes the mathematical models—SVM, and then on the basis of the method builds the model of construction project risk prediction. Lastly it uses example to prove the feasibility of the model, and it also provides an effective method for the construction project risk management.