Abstract: A method for determining a three-dimensional tortuosity of a loose and broken rock-soil mass, includes the following steps: a particle grading curve of the loose and broken rock-soil mass is obtained by utilizing a particle size analysis, and followed by calculating an equivalent particle size and an average particle size; a porosity of the loose and broken rock-soil mass is obtained by utilizing a moisture content test, a density test, and a specific gravity test; the three-dimensional tortuosity of the loose and broken rock-soil mass is obtained by utilizing the equivalent particle size, the average particle size and the porosity of the loose and broken rock-soil mass. The method has the advantages of simple logic, accuracy and reliability, simple and fast parameter determination, and has high practical value and promotion value in the field of environmental protection and ecological restoration technology.

Abstract: A method of detecting network intrusion based on improved support vector machine is disclosed. The method comprises the steps of identifying a plurality of features; computing information gain of each of the features; selecting a pre-determined number of features based on the computed information gain and augmenting that set of pre-determined number of features with special features to form a set of selected features; and classifying a network connection based on the selected features using support vector machine. In order to achieve better detection accuracy, cross-validation and grid-search are applied to select the radial basis function for the support vector machine.

Abstract: A method of detecting an internet attack against a computing device is disclosed. The method of detecting an internet attack against a computing device comprising the steps of receiving a plurality of incoming network packets; extracting a plurality of incoming feature packets based on the plurality of incoming network packets; predicting a predicted incoming feature packet based on the plurality of incoming feature packets; obtaining a first classification data based on one of the incoming feature packets using a first classifier; obtaining a second classification data based on the predicted incoming feature packet by using a second classifier; and performing at least one remedy action if the first classification data or the second classification data identifies the internet intrusion attack; wherein each of the plurality of incoming feature packets and the predicted incoming feature packet comprise a plurality of incoming features and a plurality of predicted features respectively.